From 9867e6d93cc5da8a41e570cfb2613b2c48d22c5a Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 7 Feb 2024 17:36:07 -0600
Subject: [PATCH 01/62] Sessions first draft

---
 docs/api/migration-guides/_toc.json           |  17 ++++++++
 docs/api/migration-guides/sessions.mdx        |  41 ++++++++++++++++++
 .../qiskit-ibm-runtime/ExtendedSession.png    | Bin 0 -> 63303 bytes
 .../api/qiskit-ibm-runtime/SessionTTL.png     | Bin 0 -> 51290 bytes
 4 files changed, 58 insertions(+)
 create mode 100644 docs/api/migration-guides/sessions.mdx
 create mode 100644 public/images/api/qiskit-ibm-runtime/ExtendedSession.png
 create mode 100644 public/images/api/qiskit-ibm-runtime/SessionTTL.png

diff --git a/docs/api/migration-guides/_toc.json b/docs/api/migration-guides/_toc.json
index ab6c765eb1d..41ac470b4b9 100644
--- a/docs/api/migration-guides/_toc.json
+++ b/docs/api/migration-guides/_toc.json
@@ -23,6 +23,23 @@
           }
         ]
       },
+      {
+        "title": "Qiskit Runtime 0.20 changes",
+        "children": [
+          {
+            "title": "V2 primitives",
+            "url": "/api/migration-guides/v2-primitives"
+          },
+          {
+            "title": "Sessions",
+            "url": "/api/migration-guides/sessions"
+          },
+          {
+            "title": "qiskit_ibm_provider to qiskit_ibm_runtime",
+            "url": "/api/migration-guides/qiskit-runtime-from-provider"
+          }
+        ]
+      },
       {
         "title": "Qiskit 0.44 changes",
         "children": [
diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
new file mode 100644
index 00000000000..4ccb4655bd7
--- /dev/null
+++ b/docs/api/migration-guides/sessions.mdx
@@ -0,0 +1,41 @@
+---
+title: Execution mode changes
+description: Learn about the changes to execution modes (sessions, batch, and single jobs)
+
+---
+
+<span id="execution-modes"></span>
+
+# Execution mode changes
+
+Jobs can be run as single jobs, sessions, or in a batch.
+
+## Sessions
+
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. When running a session, you have near exclusive access to the backend.  With this release, sessions are now thread safe. That is, you can run multiple workloads within a session.
+
+### Example: running 2 VQEs in a session using threading
+
+```python
+from concurrent.futures import ThreadPoolExecutor
+
+def minimize_thread(estimator, method):
+    minimize(cost_func, x0, args=(ansatz, hamiltonian, estimator), method=method)
+
+with Session(backend=backend), ThreadPoolExecutor() as executor:
+    estimator1 = Estimator(options={"job_tags": ["cobyla"]})
+    estimator2 = Estimator(options={"job_tags": ["nelder-mead"]})
+
+    cobyla_result = executor.submit(minimize_thread, estimator1, "cobyla").result()
+    nelder_mead_result = executor.submit(minimize_thread, estimator2, "nelder-mead").result()
+```
+
+### Extended sessions 
+
+Prior to this release, sessions were terminated after the active window, as shown in the following image.
+
+![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions')
+
+With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
+
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 2: Extended sessions')
diff --git a/public/images/api/qiskit-ibm-runtime/ExtendedSession.png b/public/images/api/qiskit-ibm-runtime/ExtendedSession.png
new file mode 100644
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From 542988df0a91e2d33bb5bf961d35201c5549ded4 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 7 Feb 2024 17:49:02 -0600
Subject: [PATCH 02/62] spelling

---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 4ccb4655bd7..f719321401f 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -14,7 +14,7 @@ Jobs can be run as single jobs, sessions, or in a batch.
 
 Sessions are designed for iterative workloads to avoid queueing delays between each iteration. When running a session, you have near exclusive access to the backend.  With this release, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
-### Example: running 2 VQEs in a session using threading
+### Example: Run two VQE algorithms in a session by using threading
 
 ```python
 from concurrent.futures import ThreadPoolExecutor

From 51abcd2ed026e3b4e015ba7d54aa419cefe9733a Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 7 Feb 2024 17:58:21 -0600
Subject: [PATCH 03/62] image reference

---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index f719321401f..73f9ab6f369 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -38,4 +38,4 @@ Prior to this release, sessions were terminated after the active window, as show
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 2: Extended sessions')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/ExtendedSession.png 'Figure 2: Extended sessions')

From e289a672332d7feb07bb140e1f2c5c691faea925 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 8 Feb 2024 11:36:20 -0600
Subject: [PATCH 04/62] edits

---
 docs/api/migration-guides/sessions.mdx        |  32 +++++++++++++++++-
 .../api/qiskit-ibm-runtime/SessionVsBatch.png | Bin 0 -> 37838 bytes
 2 files changed, 31 insertions(+), 1 deletion(-)
 create mode 100644 public/images/api/qiskit-ibm-runtime/SessionVsBatch.png

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 73f9ab6f369..9be15aaa29c 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -12,7 +12,7 @@ Jobs can be run as single jobs, sessions, or in a batch.
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. When running a session, you have near exclusive access to the backend.  With this release, sessions are now thread safe. That is, you can run multiple workloads within a session.
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. When running a session, you have near exclusive access to the backend.  With this release, sessions are now thread safe. That is, you can run multiple workloads within a session. By default, all sessions run in this dedicated mode. 
 
 ### Example: Run two VQE algorithms in a session by using threading
 
@@ -39,3 +39,33 @@ Prior to this release, sessions were terminated after the active window, as show
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
 [This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/ExtendedSession.png 'Figure 2: Extended sessions')
+
+## Batch
+
+Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed. 
+
+```python
+# Example: dividing a 500-circuit job into 5 100-circuit jobs and run them in batch
+
+from qiskit_ibm_runtime import Batch
+
+max_circuits = 100
+jobs = []
+start_idx = 0
+
+with Batch(backend):
+    sampler = Sampler()    
+    while start_idx < len(circuits):
+        end_idx = start_idx + max_circuits  
+        jobs.append(sampler.run(circuits[start_ids:end_idx]))
+        start_idx = end_idx
+```
+
+## Sessions versus batch 
+
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/SessionVsBatch.png 'Figure 3: Sessions compared to batch')
+
+## Billing
+
+* Single jobs are billed for the quantum time they use in processing. 
+* Sessions are billed for the entire active session time. 
diff --git a/public/images/api/qiskit-ibm-runtime/SessionVsBatch.png b/public/images/api/qiskit-ibm-runtime/SessionVsBatch.png
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From c872e3c68f124821d0e23efc444d80aaf11924aa Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 18 Mar 2024 16:57:20 -0500
Subject: [PATCH 05/62] edits

---
 docs/api/migration-guides/sessions.mdx | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 9be15aaa29c..164bbb4906d 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,11 +8,15 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution mode changes
 
-Jobs can be run as single jobs, sessions, or in a batch.
+Jobs can be run as single jobs, sessions, or in a batch: 
+
+- Use **sessions** for iterative workloads.
+- Use **batch mode** to submit multiple primitive jobs simultaneously.
+ 
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. When running a session, you have near exclusive access to the backend.  With this release, sessions are now thread safe. That is, you can run multiple workloads within a session. By default, all sessions run in this dedicated mode. 
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionaly, sessions are now thread safe. That is, you can run multiple workloads within a session. 
 
 ### Example: Run two VQE algorithms in a session by using threading
 
@@ -32,7 +36,7 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
 
 ### Extended sessions 
 
-Prior to this release, sessions were terminated after the active window, as shown in the following image.
+Before this release, sessions were terminated after the active window, as shown in the following image.
 
 ![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions')
 

From 6041637303198552185e86321ccd90fe35d47773 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 20 Mar 2024 17:08:44 -0500
Subject: [PATCH 06/62] Start adding best practices

---
 docs/api/migration-guides/sessions.mdx | 24 +++++++++++++++++-------
 1 file changed, 17 insertions(+), 7 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 164bbb4906d..c6c3f1d0661 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -12,23 +12,33 @@ Jobs can be run as single jobs, sessions, or in a batch:
 
 - Use **sessions** for iterative workloads.
 - Use **batch mode** to submit multiple primitive jobs simultaneously.
+
+## Best practices
+
+To ensure the most efficient use of the execution modes, the following practices are recommended:  
+
+- Always close your session, either by using a context manager or by specifying `session.close()`.
+- You can run multiple jobs in parallel in both batch and session module, which gives you up to 5x speed up. To differentiate jobs from different workloads, you can use job tags.  For a code example, see [Run two VQE algorithms in a session by using threading.](#two-vqe)
+- If your job contains more than _X number of_ circuits but uses fewer than _Y number of_ shots, consider dividing them into multiple jobs to take advantage of the parallelism. For a code example, see [Divide a 500-circuit job into 5 100-circuit jobs and run them in batch.](#divide)
  
 
 ## Sessions
 
 Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionaly, sessions are now thread safe. That is, you can run multiple workloads within a session. 
 
+<span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading
 
 ```python
 from concurrent.futures import ThreadPoolExecutor
+from qiskit_ibm_runtime import  Session, EstimatorV2 as Estimator
 
 def minimize_thread(estimator, method):
     minimize(cost_func, x0, args=(ansatz, hamiltonian, estimator), method=method)
 
 with Session(backend=backend), ThreadPoolExecutor() as executor:
-    estimator1 = Estimator(options={"job_tags": ["cobyla"]})
-    estimator2 = Estimator(options={"job_tags": ["nelder-mead"]})
+    estimator1.options.environment.job_tags = "cobyla"
+    estimator1.options.environment.job_tags = "nelder-mead"
 
     cobyla_result = executor.submit(minimize_thread, estimator1, "cobyla").result()
     nelder_mead_result = executor.submit(minimize_thread, estimator2, "nelder-mead").result()
@@ -38,7 +48,7 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
 
 Before this release, sessions were terminated after the active window, as shown in the following image.
 
-![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions')
+![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions') 
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
@@ -48,10 +58,10 @@ With extended sessions, the session pauses after the active window ends. The ses
 
 Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed. 
 
+<span id="divide"></span>
+### Example: Divide a 500-circuit job into 5 100-circuit jobs and run them in batch
 ```python
-# Example: dividing a 500-circuit job into 5 100-circuit jobs and run them in batch
-
-from qiskit_ibm_runtime import Batch
+from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
 
 max_circuits = 100
 jobs = []
@@ -61,7 +71,7 @@ with Batch(backend):
     sampler = Sampler()    
     while start_idx < len(circuits):
         end_idx = start_idx + max_circuits  
-        jobs.append(sampler.run(circuits[start_ids:end_idx]))
+        jobs.append(sampler.run([(circuits[start_ids:end_idx],)]))
         start_idx = end_idx
 ```
 

From 3d5f421aca0e4557e6375243692d07cf59686a7a Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 20 Mar 2024 17:09:14 -0500
Subject: [PATCH 07/62] add best practices

---
 docs/api/migration-guides/sessions.mdx | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index c6c3f1d0661..ddca5ab62dd 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -58,8 +58,7 @@ With extended sessions, the session pauses after the active window ends. The ses
 
 Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed. 
 
-<span id="divide"></span>
-### Example: Divide a 500-circuit job into 5 100-circuit jobs and run them in batch
+### Example: divide a 500-circuit job into 5 100-circuit jobs and run them in batch
 ```python
 from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
 

From 9182f161277f104a1fb076a06aa9530793ca5f29 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 20 Mar 2024 17:16:36 -0500
Subject: [PATCH 08/62] typo

---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index ddca5ab62dd..ef2072c0345 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -24,7 +24,7 @@ To ensure the most efficient use of the execution modes, the following practices
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionaly, sessions are now thread safe. That is, you can run multiple workloads within a session. 
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session. 
 
 <span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading

From 62108c2db8055d988cb3fcfc07bbbfad86354c8d Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 21 Mar 2024 14:03:38 -0500
Subject: [PATCH 09/62] remove root job note for issue 190

---
 docs/run/run-jobs-in-session.mdx | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 775b98be4bc..b94665b9503 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -142,10 +142,6 @@ print(f"Result2: {job2.result()}")
 session.close()
 ```
 
-<Admonition type="caution" title="When the root job is canceled">
-Note that when you cancel the root job in the session (the job which has the same ID as the session), the session closes and fails any remaining queued jobs in the session.
-</Admonition>
-
 <span id="cancel"></span>
 ## Cancel a session 
 

From b58b4dbb11d6b532ec004f9ed3832fe638f82fa4 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 21 Mar 2024 15:59:19 -0500
Subject: [PATCH 10/62] Update best practices

---
 docs/api/migration-guides/sessions.mdx | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index ef2072c0345..5c151c582cf 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -18,8 +18,13 @@ Jobs can be run as single jobs, sessions, or in a batch:
 To ensure the most efficient use of the execution modes, the following practices are recommended:  
 
 - Always close your session, either by using a context manager or by specifying `session.close()`.
-- You can run multiple jobs in parallel in both batch and session module, which gives you up to 5x speed up. To differentiate jobs from different workloads, you can use job tags.  For a code example, see [Run two VQE algorithms in a session by using threading.](#two-vqe)
-- If your job contains more than _X number of_ circuits but uses fewer than _Y number of_ shots, consider dividing them into multiple jobs to take advantage of the parallelism. For a code example, see [Divide a 500-circuit job into 5 100-circuit jobs and run them in batch.](#divide)
+- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job. 
+    
+    A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
+
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode. 
+
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
  
 
 ## Sessions
@@ -37,6 +42,7 @@ def minimize_thread(estimator, method):
     minimize(cost_func, x0, args=(ansatz, hamiltonian, estimator), method=method)
 
 with Session(backend=backend), ThreadPoolExecutor() as executor:
+    # Add tags to differentiate jobs from different workloads.
     estimator1.options.environment.job_tags = "cobyla"
     estimator1.options.environment.job_tags = "nelder-mead"
 
@@ -58,7 +64,8 @@ With extended sessions, the session pauses after the active window ends. The ses
 
 Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed. 
 
-### Example: divide a 500-circuit job into 5 100-circuit jobs and run them in batch
+<span id="divide"></span>
+### Example: divide a 500-circuit job into five 100-circuit jobs and run them in batch
 ```python
 from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
 

From d4eb36c32eaec5cecf567b71904f0b8439d56372 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 25 Mar 2024 10:30:35 -0500
Subject: [PATCH 11/62] Add execution mode overview page

---
 docs/run/_toc.json                   |   3 +++
 docs/run/execution-modes.mdx         |  39 +++++++++++++++++++++++++++
 docs/run/run-jobs-batch.mdx          |  19 ++++++++++++-
 docs/run/run-jobs-in-session.mdx     |  19 +++++++++++++
 public/images/run/SessionVsBatch.png | Bin 0 -> 37838 bytes
 5 files changed, 79 insertions(+), 1 deletion(-)
 create mode 100644 docs/run/execution-modes.mdx
 create mode 100644 public/images/run/SessionVsBatch.png

diff --git a/docs/run/_toc.json b/docs/run/_toc.json
index 2395f1aa5cb..580d0fb0c8c 100644
--- a/docs/run/_toc.json
+++ b/docs/run/_toc.json
@@ -44,6 +44,9 @@
       "title": "Execution modes",
       "children": [
         {
+          "title": "Introduction to execution modes",
+          "url": "/run/execution-modes"
+        },{
           "title": "About sessions",
           "url": "/run/sessions"
         },
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
new file mode 100644
index 00000000000..865ebc05814
--- /dev/null
+++ b/docs/run/execution-modes.mdx
@@ -0,0 +1,39 @@
+---
+title: Introduction to execution modes
+description: An overview of the available execution modes in Qiskit Runtime; sessions, batch, and single jobs.
+
+---
+# Introduction to Qiskit Runtime execution modes
+
+There are several ways to run jobs, depending on your needs.
+
+**Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
+
+
+[**Sessions mode**](sessions): A dedicated window for running multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
+
+
+[**Batch mode**](run-jobs-in-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
+
+## Best practices
+
+To ensure the most efficient use of the execution modes, the following practices are recommended:  
+
+- Always close your session, either by using a context manager or by specifying `session.close()`.
+- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job. 
+    
+    A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
+
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-in-batch#divide) or [session](run-jobs-in-session#two-vqe) execution mode. 
+
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
+
+## Sessions versus batch 
+
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.png 'Sessions compared to batch')
+
+## Billing
+
+* Single jobs are billed for the quantum time they use in processing. 
+* Sessions are billed for the entire active session time. 
+
diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index bd54caef645..726ac75729e 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -28,7 +28,24 @@ with Batch(backend) as batch:
         jobs.append(estimator.run(circuits, observables=obs_set))
 ```
 
-For a full example, see the following tutorials:
+<span id="divide"></span>
+### Example: divide a 500-circuit job into five 100-circuit jobs and run them in batch
+```python
+from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
+
+max_circuits = 100
+jobs = []
+start_idx = 0
+
+with Batch(backend):
+    sampler = Sampler()    
+    while start_idx < len(circuits):
+        end_idx = start_idx + max_circuits  
+        jobs.append(sampler.run([(circuits[start_ids:end_idx],)]))
+        start_idx = end_idx
+```
+
+For an end-to-end example, see the following tutorials:
 
 ## Next steps
 
diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index b94665b9503..864841c2523 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -199,6 +199,25 @@ with Session(backend=backend):
   </TabItem>
 </Tabs>
 
+<span id="two-vqe"></span>
+## Run two VQE algorithms in a session by using threading
+
+```python
+from concurrent.futures import ThreadPoolExecutor
+from qiskit_ibm_runtime import  Session, EstimatorV2 as Estimator
+
+def minimize_thread(estimator, method):
+    minimize(cost_func, x0, args=(ansatz, hamiltonian, estimator), method=method)
+
+with Session(backend=backend), ThreadPoolExecutor() as executor:
+    # Add tags to differentiate jobs from different workloads.
+    estimator1.options.environment.job_tags = "cobyla"
+    estimator1.options.environment.job_tags = "nelder-mead"
+
+    cobyla_result = executor.submit(minimize_thread, estimator1, "cobyla").result()
+    nelder_mead_result = executor.submit(minimize_thread, estimator2, "nelder-mead").result()
+```
+
 <span id="session-status"></span>
 ## Check session status
 
diff --git a/public/images/run/SessionVsBatch.png b/public/images/run/SessionVsBatch.png
new file mode 100644
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From 48d4718a527dac16a94ee82ec746bfada73a688a Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 25 Mar 2024 14:58:11 -0500
Subject: [PATCH 12/62] Update run-jobs-batch.mdx

---
 docs/run/run-jobs-batch.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index 726ac75729e..06e4a928b34 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -9,7 +9,7 @@ description: How to run quantum computing jobs in batch mode using Qiskit Runtim
 Batch mode can shorten processing time if all jobs can be provided at the outset. If you want to submit iterative jobs, use [sessions](sessions) instead.  Using batch mode has these benefits:
 
 -  The jobs' classical computation, such as compilation, is run in parallel. Thus, running multiple jobs in a batch is significantly faster than running them serially. 
--  There is no delay between jobs, which can help avoid drift.
+-  There is minimal delay between jobs, which can help avoid drift. 
 
 <Admonition type="note">
     When batching, jobs are not guaranteed to run in the order they are submitted.

From c3c854d8733baf5d857c33d684fc13187a4b9735 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 25 Mar 2024 16:39:17 -0500
Subject: [PATCH 13/62] File cleanup

---
 docs/run/execution-modes.mdx |  3 +--
 docs/run/run-jobs-batch.mdx  | 17 ++++++++---------
 2 files changed, 9 insertions(+), 11 deletions(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 865ebc05814..ad4cb7343c9 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -9,10 +9,8 @@ There are several ways to run jobs, depending on your needs.
 
 **Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
 
-
 [**Sessions mode**](sessions): A dedicated window for running multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
 
-
 [**Batch mode**](run-jobs-in-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
 ## Best practices
@@ -36,4 +34,5 @@ The above are general guidelines, and you should tune your workload to find the
 
 * Single jobs are billed for the quantum time they use in processing. 
 * Sessions are billed for the entire active session time. 
+* For batched jobs, you are billed for the time the QPU complex is processing your job. 
 
diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index 06e4a928b34..0926adb29c9 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -17,6 +17,10 @@ Batch mode can shorten processing time if all jobs can be provided at the outset
 
 ![This diagram illustrates jobs submitted in a batch.  It shows five jobs, numbered 0 through 4, in a queue. The jobs are a mix of Estimator and Sampler.](/images/run/batch.png 'Figure 1: Batch execution')
 
+There are multiple ways you can reconfigure your jobs to take advantage of the parallel processing provided by batching.
+
+## Example: Divide a list of circuits into multiple jobs and run them in batch
+
 The following example shows how you can divide up a long list of circuits into multiple jobs and run them as a batch to take advantage of the parallel processing.
 
 ```python
@@ -29,7 +33,10 @@ with Batch(backend) as batch:
 ```
 
 <span id="divide"></span>
-### Example: divide a 500-circuit job into five 100-circuit jobs and run them in batch
+## Example: Divide a 500-circuit job into five 100-circuit jobs and run them in batch
+
+You can run multiple jobs in parallel by submitting multiple jobs in batch execution mode. 
+
 ```python
 from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
 
@@ -45,11 +52,3 @@ with Batch(backend):
         start_idx = end_idx
 ```
 
-For an end-to-end example, see the following tutorials:
-
-## Next steps
-
-<Admonition type="tip" title="Recommendations">
-    - Try the [CHSH inequality](https://learning.quantum.ibm.com/tutorial/chsh-inequality) tutorial.
-    - Try the [Grover's algorithm](https://learning.quantum.ibm.com/tutorial/grovers-algorithm) tutorial.
-</Admonition>
\ No newline at end of file

From 9e9199922087ceb57db91e45603a797f7610ccf5 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 25 Mar 2024 16:41:21 -0500
Subject: [PATCH 14/62] fix links

---
 docs/run/execution-modes.mdx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index ad4cb7343c9..318a305ef20 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -11,7 +11,7 @@ There are several ways to run jobs, depending on your needs.
 
 [**Sessions mode**](sessions): A dedicated window for running multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
 
-[**Batch mode**](run-jobs-in-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
+[**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
 ## Best practices
 
@@ -22,7 +22,7 @@ To ensure the most efficient use of the execution modes, the following practices
     
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-in-batch#divide) or [session](run-jobs-in-session#two-vqe) execution mode. 
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#divide) or [session](run-jobs-in-session#two-vqe) execution mode. 
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
 

From d70b4593db483926d97b31c0a227baa7791cad77 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 15 Apr 2024 11:33:10 -0500
Subject: [PATCH 15/62] Move images

---
 .../api/qiskit-ibm-runtime/SessionVsBatch.png  | Bin 37838 -> 0 bytes
 .../ExtendedSession.png                        | Bin
 public/images/run/ExtendedSession.psd          | Bin 0 -> 418766 bytes
 .../qiskit-ibm-runtime => run}/SessionTTL.png  | Bin
 4 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 public/images/api/qiskit-ibm-runtime/SessionVsBatch.png
 rename public/images/{api/qiskit-ibm-runtime => run}/ExtendedSession.png (100%)
 create mode 100644 public/images/run/ExtendedSession.psd
 rename public/images/{api/qiskit-ibm-runtime => run}/SessionTTL.png (100%)

diff --git a/public/images/api/qiskit-ibm-runtime/SessionVsBatch.png b/public/images/api/qiskit-ibm-runtime/SessionVsBatch.png
deleted file mode 100644
index 2fe7ae49dfd89261bf801cbb26e5f84d26e7da77..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/public/images/api/qiskit-ibm-runtime/SessionTTL.png b/public/images/run/SessionTTL.png
similarity index 100%
rename from public/images/api/qiskit-ibm-runtime/SessionTTL.png
rename to public/images/run/SessionTTL.png

From ffa646214c6f805a235311df9573532ad8ddf90c Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 15 Apr 2024 12:42:51 -0500
Subject: [PATCH 16/62] move images

---
 docs/api/migration-guides/sessions.mdx     |   6 ++--
 public/images/run/ExtendedSession.svg      |  32 +++++++++++++++++
 public/images/run/ExtendedSession@dark.psd | Bin 0 -> 469584 bytes
 public/images/run/ExtendedSession@dark.svg |  38 +++++++++++++++++++++
 4 files changed, 73 insertions(+), 3 deletions(-)
 create mode 100644 public/images/run/ExtendedSession.svg
 create mode 100644 public/images/run/ExtendedSession@dark.psd
 create mode 100644 public/images/run/ExtendedSession@dark.svg

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 5c151c582cf..4197fb70f84 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -54,11 +54,11 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
 
 Before this release, sessions were terminated after the active window, as shown in the following image.
 
-![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/api/qiskit-ibm-runtime/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions') 
+![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions') 
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/ExtendedSession.png 'Figure 2: Extended sessions')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/ExtendedSession.png 'Figure 2: Extended sessions')
 
 ## Batch
 
@@ -83,7 +83,7 @@ with Batch(backend):
 
 ## Sessions versus batch 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/api/qiskit-ibm-runtime/SessionVsBatch.png 'Figure 3: Sessions compared to batch')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.png 'Figure 3: Sessions compared to batch')
 
 ## Billing
 
diff --git a/public/images/run/ExtendedSession.svg b/public/images/run/ExtendedSession.svg
new file mode 100644
index 00000000000..b741e396bf3
--- /dev/null
+++ b/public/images/run/ExtendedSession.svg
@@ -0,0 +1,32 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1828" height="474" viewBox="0 0 1828 474">
+  <defs>
+    <style>
+      .cls-1, .cls-3 {
+        font-size: 44px;
+      }
+
+      .cls-1 {
+        fill: #f4f4f4;
+      }
+
+      .cls-1, .cls-2, .cls-3 {
+        text-anchor: middle;
+        font-family: "IBM Plex Sans";
+      }
+
+      .cls-2 {
+        font-size: 39.483px;
+      }
+    </style>
+  </defs>
+  <image width="1828" height="474" 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new file mode 100644
index 00000000000..ccc9916f64f
--- /dev/null
+++ b/public/images/run/ExtendedSession@dark.svg
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+  <text id="Job3" class="cls-1" x="400.25" y="227.676"><tspan x="400.25">Job3</tspan></text>
+  <text id="Job4" class="cls-1" x="550.25" y="227.167"><tspan x="550.25">Job4</tspan></text>
+  <text id="Job5" class="cls-1" x="995.75" y="228.671"><tspan x="995.75">Job5</tspan></text>
+  <text id="Job6" class="cls-1" x="1144.75" y="226.675"><tspan x="1144.75">Job6</tspan></text>
+  <text id="_..." data-name="..." class="cls-1" x="1291.25" y="222.511"><tspan x="1291.25">...</tspan></text>
+  <text id="_...-2" data-name="..." class="cls-1" x="1736.251" y="222.514"><tspan x="1736.251">...</tspan></text>
+  <text id="Interactive_TTL" data-name="Interactive TTL" class="cls-2" transform="translate(322.75 46.74) scale(1.114)"><tspan x="0">Interactive TTL</tspan></text>
+  <text id="Active_window" data-name="Active window" class="cls-3" x="327.25" y="354.535"><tspan x="327.25">Active window</tspan></text>
+  <text id="Job1" class="cls-1" x="100.25" y="228.669"><tspan x="100.25">Job1</tspan></text>
+  <text id="Job2" class="cls-1" x="253.249" y="228.669"><tspan x="253.249">Job2</tspan></text>
+  <text id="Paused" class="cls-3" x="855.25" y="454.93"><tspan x="855.25">Paused</tspan></text>
+</svg>

From 43867949c0003f195d3d3fc8043eed7e427a4547 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 15 Apr 2024 13:50:12 -0500
Subject: [PATCH 17/62] SVGs

---
 docs/api/migration-guides/sessions.mdx |   4 +-
 public/images/run/ExtendedSession.png  | Bin 63303 -> 0 bytes
 public/images/run/SessionTTL.psd       | Bin 0 -> 344961 bytes
 public/images/run/SessionTTL.svg       |  32 ++++++++++++++++
 public/images/run/SessionTTL@dark.psd  | Bin 0 -> 365602 bytes
 public/images/run/SessionTTL@dark.svg  |  34 +++++++++++++++++
 public/images/run/SessionVsBatch.png   | Bin 37838 -> 0 bytes
 public/images/run/SessionVsBatch.psd   | Bin 0 -> 354912 bytes
 public/images/run/SessionVsBatch.svg   |  49 +++++++++++++++++++++++++
 9 files changed, 117 insertions(+), 2 deletions(-)
 delete mode 100644 public/images/run/ExtendedSession.png
 create mode 100644 public/images/run/SessionTTL.psd
 create mode 100644 public/images/run/SessionTTL.svg
 create mode 100644 public/images/run/SessionTTL@dark.psd
 create mode 100644 public/images/run/SessionTTL@dark.svg
 delete mode 100644 public/images/run/SessionVsBatch.png
 create mode 100644 public/images/run/SessionVsBatch.psd
 create mode 100644 public/images/run/SessionVsBatch.svg

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 4197fb70f84..84d8134001d 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -58,7 +58,7 @@ Before this release, sessions were terminated after the active window, as shown
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/ExtendedSession.png 'Figure 2: Extended sessions')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/ExtendedSession.svg 'Figure 2: Extended sessions')
 
 ## Batch
 
@@ -83,7 +83,7 @@ with Batch(backend):
 
 ## Sessions versus batch 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.png 'Figure 3: Sessions compared to batch')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.svg 'Figure 3: Sessions compared to batch')
 
 ## Billing
 
diff --git a/public/images/run/ExtendedSession.png b/public/images/run/ExtendedSession.png
deleted file mode 100644
index 40d9470d5ce6fc61090e334d8f1be430011f22aa..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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sOOOO4aZM2eWnrxOnTrJ/tRxWDgAAJA/LF4GNWzOnDnhsMMOywjV0T333CNUAwBAHhKsoYbF7bP+85//ZJz0L3/5Szj11FM1BQAA5CFDwaEG3X///eG0007LOOGJJ54YHnzwQc0AAAB5SrCGGjJ8+PDQpUuXMH/+/NITbr311uG9994LjRs31gwAAJCnBGuoAQsWLEhCdFy0bKnmzZuHDz/8MGy++eaaAAAA8pg51lADbr755oxQHfXr10+oBgCAAqDHGqrZhAkTwpZbbpmsBr5UXMDs7rvvVvUAQN6KMSKOyouPONVt4cKFoX79+qFhw4ahQYMGyaOkpEQDUxQEa6hmhx9+eHj66adLT7LWWmslvderrbaaqgcActLixYvD6NGjw6hRo8LYsWPDmDFjkj8nTZoUpk2bFqZOnRqmT5+evG956tSpE1q0aBFat24dWrVqlfwOtNFGG4V27dolf8aRe5tuumnyPsh39bQgVJ9XX301I1SH/7+1llANAOSK2M82YsSI8NZbb4V33303fPrpp+Hzzz8Pc+fOTVXCGLpjCI+P5WnSpEnYaqutwjbbbBN++ctfhq5du4b27dvr6Sbv6LGGahQXLFt2z+qdd945+UfLPxYAQG365ptvwssvv5w8hg0blvQ+54qWLVuGXXbZJey7775hv/32S3q3IdcJ1lBNhg4dGvbee+/Sg8dhTh988EHo1KmTKgcAatxHH30UBg4cGJ599tlyi6pWVd26dUOzZs2SudVLY8WiRYvC7NmzkznX2bDFFluE7t27hx49evg9ipwlWEM1OfDAA8OQIUNKD96rV68wYMAA1Q0A1JjYM/3ggw+GJ554Inz99derdNo4NzouwBrnQcdHnBvdtm3bZK50fMSpbXGhsuWZN29emDVrVjIf+/vvvw8TJ04M3377bfjqq6+SYB8fkydPXqUyxXIcddRR4cQTTwwbb7yxG4mcIVhDNYiLfcRvV5dd0CPuWb3DDjuobgCgWsWe4sGDB4e+ffuG119/PVTm1/3Y69ylS5dkjnPsFd5uu+3CeuutV+0N9cMPPyQ96cOHD0/md8dh6TNnzlzp5+K0uj333DOccsop4ZBDDkl6zKE2CdZQDc4777xw++23lx44/kMV51YDAFSXGTNmhPvvvz/5HeS7775b4VniEO7OnTuHAw44IOy1115h++23D/Xq1f66xnEY+ccffxzeeOONZORf/P3p559/XuFn1l133eR3r1NPPTWsvvrqNVZWWJZgDVkW5xStvfbaydCnpR5//PFk2BIAQLZNmTIl3HjjjeHee+8NP/3003KPHoNzXP/l6KOPTgJ1XCQs18UvC1566aVkbviLL76Y7Jm9PM2bNw+nn356uOiii5Jh7FCTBGvIsvjtapxfvVQM2ePGjTNECQDIqh9//DH89a9/DXfccccKA3Uc2h2HTB9xxBHJftL5KobsQYMGhf79+4e33357uVcRh7XHHuzf//73yT7aUBPsxg5Z9tprr2Uc8LDDDhOqAYCsiXOob7vttrDJJpuEG264ocJQ3bhx4/Db3/422ZEkzmGOPbn5HKqjNdZYI7mmODz8k08+CWeccUbSS11WrI8//elPSf306dNnpUPJIRv0WEOWbbPNNuGzzz4rPegzzzwTDj74YNUMAKQWh0P37t07jBo1qsJDxeHdZ511VjjnnHPCmmuuWfAVHnux77777iRAL2+F8biy+a233hq6detW4+WjeAjWkEXxf+hxG4ql/1nFhUHiFhPxG1YAgKqaNGlSEpafeuqpCo8QA/XFF18czjzzzNC0adOiq+e4tdcDDzyQ9FTHlcYrEvfBjgu7tWnTpraLSwEyFByyqOyWFnF7LaEaAEgj7kPdvn37CkN1nE985ZVXhjFjxoQLL7ywKEN11KhRo3D22Wcne3Vff/31Ff7+9eSTTyb1+NBDD9VKGSlsgjVkUZzDtKxf//rXqhcAqJI46q179+7h5JNPDtOnTy93iJ49e4Yvv/wyXHPNNWG11VZTySGEJk2ahEsuuSSMHj06nHbaaaFOncy4Exd8O+GEE8Khhx4apk2bVmvlpPAYCr4KRkxZHAaPWpR8YMRU1VZs5n8+PDR5pn9y1c3Hf1Lh1Q+d9XUYNW9q6fNfN984tG9Ufn7T/hf+Nnm4p4pbZe6pynJPEarhntrohJPcT2Q4dMu6yYPq9/e//z0cf/zxFQ5r3nbbbZN5xV26dNESKzF8+PBkzvm7775b7o3rrLNO0nsd9/GGtATrVdDz2eXvm0fhW+PU3VZ6jc//d2SYsOC/pc9/s/oWYcMGyx8KPuP+N905Rawy99Sqck8Vt2zfU+4nlueyrvVC+zUNfKwOixcvTnqgr7vuulD21/QGDRqEyy+/PJlLbceRyot1GudWX3rppWHu3LkZn4s92ldddVW44oorQklJSW5fCDnN/xErafDIRXlRTqrHgkEPVuq4cxcvzHjepM7y/9GbvM8JWquIVfaeWhXuqeKW7XvK/cSKLB3JQHbF4d6/+c1vwrXXXlsuVMe9qOOUsxgAhepVE8Pz7373u/Dpp5+GXXbZJeOzMXTHYH3QQQclK4xDle8zNVc5gnVxa/P3v1Xq+ueUCdaNVxCsGxx+UrFXa1Gr7D21KtxTxS3b95T7CWpWnCu94447hpdeeqnceWMofOedd0LHjh21Sgqbbrpp+Mc//pEE6bJzr4cMGRJ22mmnZG42VIVgDVnUoVGbsGWjNZPh32vWaxqalPhGGYDCY859dv3rX/8KO++8c7Ki9bJatWqVBL64B3McBk56cSvUq6++Orz22mvJHOtlffXVV0k7vP3222qaVSZYQxb9sul6Yc/mGydzq49s0THUMVcHAFiBgQMHhr333jtZrXpZW2+9dfjggw/CAQccoPqqwe67754MrY9BellxJfY999wzPP3004V1wVQ7wRoAAGpB3J/66KOPDvPnz884+WGHHZYM/d5oo400SzVq27ZteOONN5Ltt5Y1b9680KNHjzBgwIDCvHCqhWANAAA1LK5S/dvf/jZZPGtZF154YXjqqadC06ZNNUkNaNiwYejfv3+44YYbMk62aNGiJHDfc889BXrlZJtgDQAANSiG6vPOOy9j5e+41VOcS33jjTfa9qkWxC3M4giCevXqlZ48ts+ZZ54pXFMpgjUAANSQfv36Jat8lxUDXEU/p+aceOKJ4ZlnngmNGjXKOOdZZ51lWDgrJVgDAEANePLJJ8Opp55abo/q6L777guDBg3SDLUs7iP+7LPPJkPEl4rtddJJJ1nQjBUSrAEAoJq9+eab4bjjjis3p3qpn3/+OVnITLiuffvuu2+5cB3nXPfs2dNWXCyXYA0AANVo1KhR4eCDDw4LFiwoPUmcRx2HGC87p1e4zh3dunVL2mHZ9omrhXfv3j2MHj262KuHCgjWAABQTeL+1Pvvv3+YPn16xgniQmV33nlnePzxx4XrHBWHhd9///0ZhYv7XMf2nDFjRrFXD2UI1gAAUA3isO9jjjkmfPPNNxkH/8Mf/pCsCh4dfvjhwnUOiwuaXX/99RkF/Oqrr0KvXr0qnCtP8RKsAQCgGlx55ZXhlVdeyTjwoYceWm7PZOE6t11yySXJntbLGjJkSLjuuuuKvWpYhmANAABZ9tJLL5Xr6dxmm22SbZsq2qdauM5t9957b+jcuXNGGa+55powdOjQYq8a/j/BGgAAsmjy5MnJEOJlhwq3bNkyPP/886Fp06bLPZFwnbviCuGDBw8Oa6+9dmkZ41D/448/PkybNq3Yq6foBcEaAACyK+55PGnSpIxj/u1vfwsbbrjhSs8jXOeuGKofe+yxUKfO/0WoiRMnhlNOOaXYq6boBcEaAACyJ64i/cILL2Qcr3fv3uHAAw+s9DmE69y1++67h8svvzyjfM8880x46KGHir1qip5gDQAAWRB7Ly+66KKMA22//fbhz3/+8yofXLjOXXFRul122SWjfPHLkzgFgOIlWAMAQBacffbZ4b///W/pgRo0aJAMAa9fv36VDi5c56a6deuG/v37hyZNmpSWL+5Xfu655xZ71RQ1wRoAAFKKC5PFIcHLuuKKK5KVwNMQrnPTpptuGv70pz9llO3JJ58ML7/8crFXTdESrAEAIIUFCxYkQ4GX1bFjx3DxxRdnpVqF69wUe6jLbsF1/vnnJ21D8RGsAQAghT59+oSvv/464wB33313RhBOS7jOPXF18LvuuitjlfCRI0cmP6MI74ccKAMAAOSlKVOmhD/+8Y8ZRT/uuOPCrrvumvXLEa5zT6dOncJpp52WUa5rrrkmTJ8+vdirpugI1gAAUEU33nhjmDlzZumH44JWVVkFvLKE69wTv1hZY401SssVQ/XNN99c7NVSdARrAACogh9++KHcsN84x3bttdeu1uoUrnNLy5Ytwx/+8IeMMsXpAVOnTi32qikqgjUAAFTBDTfcEObOnVv6wdatW5fbx7q6CNe55bzzzgvrrLNOaZl++umnZDQDxUOwBgCAVTRt2rTwwAMPZHzoggsuCKuttlqNVaVwnTsaN24cLr300ozy3HvvvRn7mlPYBGsAAFhFcdXvOXPmlH6oRYsW4cwzz6zxahSuc8fJJ58c1lprrdLyzJo1K9x///3FXi1FQ7AGAIBVMH/+/HDnnXdmfCDuady8efNaqUbhOjc0atQomWO/rNtvvz0sXLiw2KumKAjWAACwCp588skwefLk0g/EQHX22WfXahUK17nhjDPOyPiC5dtvvw3PPPNMcVdKkRCsAQBgFfTt2zfjzUcddVSycFltE65rX5xj36tXr4xylL1fKEyCNQAAVNLIkSPDsGHDMt58zjnn5Ez1Cde1r+xc+9deey2MGTOmOCujiAjWAABQSf369ct44y9+8YvQqVOnnKo+4bp2bbXVVmHXXXctLcOSJUvCgw8+WJyVUUQEawAAqIQYkOL86mUdf/zxOVl1wnXtKntfPPHEE8VXCUVGsAYAgEp45513woQJE0rf2KBBgySo5irhuvbEuo+L2i01evToMHz48KKsi2IhWAMAQCWU7a3u1q1baNWqVU5XnXBdO1ZfffVw4IEHZpx74MCBxVMBRUiwBgCASnj22Wcz3nTooYfmRbUJ17Wj7P1h263CJlgDAMBKfPHFF2H8+PGlb4ohtWyPZC4TrmvefvvtF+rXr1963i+//NLq4AVMsAYAgJV4+eWXM94QV31u2bJlXlWbcF2z4nDwPfbYI+OcL730UuFfeJESrAEAYCXKBut99tknL6tMuK5ZZe+TV155pfAvukgJ1gAAsAIxeL799tsZb9hrr73ytsqE65qz5557ZpzrX//6V7JtG4VHsAYAgBX45JNPwuzZs0vf0KJFi9CpU6e8rjLhumZsu+22GSvHT58+PYwYMaKwL7pICdYAALACb731VsaLO++8c6hTJ/9/jRauq19JSUno2rVrxnnK3k8UBsEaAABW4N133814sXPnzgVTXcJ19dtpp50yzvHee+8V5oUWOcEaAABW4NNPP8148Ze//GVBVZdwXb3KBuuy9xOFQbAGAIDlWLBgQRg1alTGi/k+v7oiwnX12WGHHTKO/fnnn4fFixcX1kUiWAMAwPLEhaZiwFyqTZs2oXXr1gVZX8J19Yj7na+11lqlx54zZ04YPXp0YV0kgjUAACzPyJEjM17ZaqutCrquhOvq0aFDh4zjlh0FQf4TrAEAYDnGjh2b8UL79u0LvqqE6+zbcsstM45Z9r4i/wnWAACwHGPGjMl4YcMNNyyKqhKus6tdu3YZxxOsC49gDQAAy1E2ABVLsA7CdVZtsMEGGYcr+4UN+U+wBgCA5Zg0aVLGC2UDUqETrrNj/fXXzzhO2fuK/CdYAwDAckydOjXjhbgqeLERrtMre99MmzYtPy+E5RKsAQBgOcoGoLh1UjESrtMpe9+U/cKG/CdYAwBABebOnZs8lqpTp05YY401iraqhOuqi/dNSUlJ6eenT58elixZkn8XwnIJ1gAAUIFlQ3XUvHnzjBYAfw0AAB1ySURBVHBUjITrqqlbt25o0qRJ6WcXL14cFixYkF8XwQoJ1gAAUIGywadBgwaqSbiusoYNG2Z8VLAuLII1AABUYP78+Rk/FKz/j3C96urXr5/xmbL3F/lNsAYAgAosXLgw44dlg1GxE65XTdn7p+z9RX4TrAEAoAJlg1AMjWQSrivPFzWFTbAGAIAKlB36behuxYTryik7p7rsnGvym2ANAAAVKBt8BOvlE65XzmJ4hU2wBgCACjRq1Cjjh2W33yKTcL18ixYtCnPmzCl9Pe6JLlgXFsEaAAAqEPcdXjZcxzmys2bNUlUrIFxXbPr06WHJkiWlr7Vo0aLo90QvNII1AAAsR6tWrTJemDp1qqpaCeG6vBisl9W6deucKh/pCdYAALAcZQOQYF05wnWmSZMmZTwv+4UN+U+wBgCA5VhrrbUyXvjuu+9UVSUJ1/9nwoQJGc/L3lfkP8EaAACWo127dhkvjB07VlWtAuH6f40fPz7jedn7ivwnWAMAwHJstNFGGS+MGTNGVa0i4br8FzJl7yvyn2ANAADLUbZn8ZtvvlFVVVDs4XrEiBEZzwXrwiNYAwDAcmyxxRYZL/znP/9RVVVUzOG6bLDefPPNa60sVA/BGgAAlqNDhw6hbt26pS/GIb0zZ85UXVVUjOE6riQ/efLk0ueNGzcOm266aa2WiewTrAEAYDkaNmxYrnfxs88+U10pFFu4/uijjzKed+zYMdSpI4YVGi0KAAArsM0222S8+OGHH6qulIopXL///vsZz8veTxQGwRoAAFbgl7/8ZcaLb731lurKgmIJ12WDddn7icIgWAMAwArssssuGS8K1tlT6OF68eLF4e233874WdeuXWutPFQfwRoAAFZgu+22C02aNCl9w8SJE227lUWFHK4//vjj8OOPP5Y+b9GiRWjfvn2tlonqIVgDAMAK1K9fP3Tu3DnjDS+//LIqy6JCDdevvfZaxvM4+qGkpKTWykP1EawBAGAlunXrlvEGwTr7CjFcv/LKKxnPy95HFA7BGgAAVqJsIHr99dfD/PnzVVuWFVK4njFjRvjnP/+Z8TPBunAJ1gAAsBJbb711WHfddUvfNHv27PDqq6+qtmpQKOH6hRdeSMq9VNwPfeONN67tYlFNBGsAAKiEgw8+OONNTz75pGqrJoUQrgcPHpzxvOz9Q2ERrAEAoBKOPPLIjDc999xzYd68eaqumuRzuI7DwGOP9bLK3j8UFsG6ktq3tnpfMZu1wbZZv/oFnw8v9motau4psi3b95T7CcqLKzqvs846pT+fNWtW+J//+R81VY3yNVwPHDgwYw7+JptsEnbYYYdaLRPVS7AGAGCVHLpl3aKssDp16pTrdezbt2+tladY5GO4fuihhzKeH3XUUbVWFmqGYF1Jh25RnP+A8L/mHHJi1mui8TP91W4Rc0+Rbdm+p9xPrEixBuvo5JNPzng+dOjQMGbMmForT7HIp3D96aefhrfffrv0edy3+qSTTqrVMlH9BOtKar9mnfDIwQ2K+h+SYtZwq05hxv1vhsn7nJC6Fjbr2il5XNbnNPdUEXNPkW3Zvqc6rV83XLnmf9xPlIrT4uLjsq71irpSOnbsGDp37lz6fMmSJXqta0i+hOu777474/mvf/1rq4EXgZIl8f8GAABApTz44IMZPdctW7YM48ePD02bNlWBNSCG6Biml93KKobtGLpj+K5NcdGy9dZbL9mObaknnngi9OjRoyDbgv+jxxoAAFZBDHWtW7cu/cCPP/4Y+vc3faKm5HLP9V133ZURquPe54ceemitlomaIVgDAMAqaNy4cTjjjDMyPnDrrbeGRYsWqcYakovhes6cOaFPnz4ZPzv33HND/fr1a6U81CzBGgAAVtHZZ58dGjVqVPqhb775JgwYMEA11qBcC9dxrv2UKVNKnzdr1iyceuqpNV4OaodgDQAAq6hNmzbhhBMyFwu89tprw8KFC1VlDcqVcB2Hf99www0ZPzv99NPDGmusUQu1Qm0QrAEAoAouu+yy0LBhw9IPjh07NvTr109V1rBcCNdxKsCkSZNKn8fe6osuuqiWa4aaJFgDAEAVxNWfTzvttIwPXnXVVWHmzJmqs4bVZrieOnVquOmmmzJ+ds4554Q111wzB2qGmiJYAwBAFV1yySUZ22xNnjw5XHfddaqzFtRWuI73wLJfpsTh3xdeeGGO1Q7VTbAGAIAqatu2bbj44oszPnz77beHr776SpXWgpoO1++//3654f9XXnllaNGiRQ7WDtWpZMmSJUvUMAAAVM28efPClltuGcaNG1f6+T322CO8/vrrarSWxBAdw3QM1UvFsB1Ddwzf2RC3V+vcuXP48MMPS4+2xRZbhM8++8wWW0VIjzUAAKQQt90qO8f2jTfesJBZLaqJnutbbrklI1Qv/ZlQXZz0WAMAQBYccMAB4cUXXyw9UJxr+8UXX4S1115b9daS6uq5HjlyZNh+++2T0QpLHXHEEWHgwIH5WVGkJlgDAEAWjB8/Pmy11Vbhp59+Kj3Y3nvvHV555ZVQUlKiimtJtsN1PM4uu+wS3nvvvdKfxTnVI0aMCGuttVYe1xRpGAoOAABZsMEGG4Trr78+40CvvvpquO2221RvLcr2sPC4ONmyoTq6+eabheoip8caAACyJP5qvc8++4ShQ4eWHrBhw4bh7bffDp06dVLNtSgbPdfxi5J99903LBuhDjrooPDcc88VUE1RFYI1AABk0cSJE8M222wTpk2bVnrQdu3ahY8++ii0bNlSVdeiNOH622+/DTvssEOyV/lScbu1uAp469atC7PCqDRDwQEAIIvWWWed8MADD2QccOzYsUmgW7x4saquRVUdFj537txw8MEHZ4TqOG/+oYceEqpJCNYAAJBlMYT9/ve/zzjo3//+93DRRRep6lpWlXD929/+NhlxsKwrrrgiGfYPwVBwAACoHjGsxVXB//GPf2Qc/6677gpnnnmmWq9llR0WfvXVV4drrrkmo7D77bdfGDJkSKhTRz8l/0uwBgCAahKHDv/iF78IEyZMKD1B3bp1w7PPPht+85vfqPZatrJwfd9994XTTz89o5CbbLJJ+OCDD5IttmApwRoAAKpRXNwq7ns8c+bM0pM0btw4vPjii2H33XdX9bVseeH6rLPOCnfccUfGvPi4+Nw777wTNt9886KrJ1ZMsAYAgGoW51cfcMABGeGtWbNmyfZNnTt3Vv21rKJwXVbcNi2216677lp8FcRKmRQAAADVLC5y1bdv32Ql6aV++umnZK7ue++9p/prWUULmi0rzqUeMGCAUM1yCdYAAFADTjjhhNCnT5+ME82YMSPstdde5RY4o+bFcH322WeXO2/8MiR+KXLkkUdqFZZLsAYAgBpyzjnnhBtuuCHjZLHnev/99w8vvPCCZqhF999/fzKnuqz4ZchJJ51UnJVCpQnWAABQgy6++OJy4Xru3Lmhe/fu4Z577tEUteDaa68Np512Wli0aFHpyWNPdQzV8csQWBmLlwEAQC2IvaPnnXdeKPvr+AUXXBD+8pe/2CO5BsybNy+ccsop4ZFHHsk4Waz72IN98sknF+iVk22CNQAA1JK//e1vSbAruxp1t27dwqOPPpps70T1+P7778PBBx8c3n///YzjN2jQIFmorEePHmqeShOsAQCgFsWtuI444oiMfa6jjTbaKAwePDhst912mifLXn/99XDssceGH374IePALVq0CM8++2zYbbfdCuAqqUnGlwAAQC2KW3ENGzYsrL/++hmFGDNmTNh5553D7bffXm64OFUT51BfddVVYe+99y4XqjfeeOPwzjvvCNVUiR5rAADIAZMnT06GH1e09VYcGt6/f//Qtm1bTVVFX331VbLl2dtvv13uAPvuu2947LHHDL2nygTrSor72q3IoEGDcv8iAAAqye8+tSPOtY6rht98883lzh9D3y233BKOP/744qiMLIlxJy4Ud8kll4Q5c+ZkHDSu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new file mode 100644
index 00000000000..75e0783de81
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From 1441c1d8616b2e8f21f3c12a2a772adf33c955d3 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 15 Apr 2024 17:43:59 -0500
Subject: [PATCH 18/62] update images

---
 public/images/run/SessionVsBatch.svg      |  42 ++++++++++++----------
 public/images/run/SessionVsBatch@dark.psd | Bin 0 -> 384413 bytes
 2 files changed, 23 insertions(+), 19 deletions(-)
 create mode 100644 public/images/run/SessionVsBatch@dark.psd

diff --git a/public/images/run/SessionVsBatch.svg b/public/images/run/SessionVsBatch.svg
index 580aaf9a7c5..a5c01f1ce9d 100644
--- a/public/images/run/SessionVsBatch.svg
+++ b/public/images/run/SessionVsBatch.svg
@@ -1,49 +1,53 @@
 <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="765" height="362" viewBox="0 0 765 362">
   <defs>
     <style>
-      .cls-1, .cls-2 {
+      .cls-1, .cls-2, .cls-3 {
         font-size: 13.333px;
       }
 
       .cls-1 {
-        fill: #262626;
+        fill: #131619;
       }
 
-      .cls-1, .cls-2, .cls-3, .cls-4, .cls-5, .cls-6 {
+      .cls-1, .cls-2, .cls-3, .cls-4, .cls-5, .cls-6, .cls-7 {
         font-family: "IBM Plex Sans";
       }
 
-      .cls-2, .cls-4, .cls-6 {
+      .cls-2 {
+        fill: #262626;
+      }
+
+      .cls-3, .cls-5, .cls-7 {
         fill: #393939;
       }
 
-      .cls-2, .cls-5, .cls-6 {
+      .cls-3, .cls-6, .cls-7 {
         text-anchor: middle;
       }
 
-      .cls-3, .cls-4, .cls-5 {
+      .cls-4, .cls-5, .cls-6 {
         font-size: 10.667px;
       }
 
-      .cls-3, .cls-5 {
+      .cls-4, .cls-6 {
         fill: #949699;
       }
 
-      .cls-6 {
+      .cls-7 {
         font-size: 12px;
       }
     </style>
   </defs>
   <image width="765" height="362" 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From 63eab2b5ba481e2a325ae481d621cba773b6568b Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 15 Apr 2024 17:52:36 -0500
Subject: [PATCH 19/62] dark mode

---
 public/images/run/SessionVsBatch@dark.psd | Bin 384413 -> 379811 bytes
 public/images/run/SessionVsBatch@dark.svg |  82 ++++++++++++++++++++++
 2 files changed, 82 insertions(+)
 create mode 100644 public/images/run/SessionVsBatch@dark.svg

diff --git a/public/images/run/SessionVsBatch@dark.psd b/public/images/run/SessionVsBatch@dark.psd
index 58fee72c023564a425fc0edfd865886d04eab8bd..d02f5a4e0c96fe8ae66149609e9c5e26d2fcc15a 100644
GIT binary patch
delta 54759
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index 00000000000..e06fee0b5cc
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+  <text id="Quantum_computation" data-name="Quantum computation" class="cls-5" x="33.875" y="330.771">Quantum computation</text>
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+  <text id="Classical_computation" data-name="Classical computation" class="cls-5" x="33.875" y="353.021">Classical computation</text>
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+  <text id="_params_" data-name="{params}" class="cls-5" x="334.125" y="100.271">{params}</text>
+  <text id="System_locked_for_your_use-2" data-name="System locked for your use" class="cls-10" x="202.375" y="259.771"><tspan x="202.375">System locked for your use</tspan></text>
+</svg>

From 8d6bc0ca470a84fd09ab6c59ea69729ec069273c Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Tue, 16 Apr 2024 16:58:07 -0500
Subject: [PATCH 20/62] some changes

---
 docs/run/execution-modes.mdx | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 318a305ef20..7e068d05d57 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -28,11 +28,12 @@ The above are general guidelines, and you should tune your workload to find the
 
 ## Sessions versus batch 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.png 'Sessions compared to batch')
+The following image illustrates when the system is locked for your use in session and batch modes. When running a session, the system is locked for your use from the time the session starts until it ends, which includes classical computation time at the beginning and end of each job, and time between jobs.  For batch mode, the system is locked for your use from the time the first job starts being processed on the system until the last job is done being run on the system.
+
+[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/SessionVsBatch.svg 'Sessions compared to batch')
 
 ## Billing
 
 * Single jobs are billed for the quantum time they use in processing. 
 * Sessions are billed for the entire active session time. 
 * For batched jobs, you are billed for the time the QPU complex is processing your job. 
-

From 7385afb988f6cbbc8bd82a655d74a427c580d4ca Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Tue, 16 Apr 2024 16:58:30 -0500
Subject: [PATCH 21/62] stashed changes

---
 docs/api/migration-guides/sessions.mdx | 8 +++++---
 docs/run/execution-modes.mdx           | 4 ++--
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 84d8134001d..f81f070df4a 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,10 +8,12 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution mode changes
 
-Jobs can be run as single jobs, sessions, or in a batch: 
+Workloads can be run as single jobs, sessions, or in a batch: 
+
+- Use **sessions** mode for iterative workloads.
+- Use **batch** mode to submit multiple primitive jobs simultaneously.
+- Use **job** mode to submit a single primitive request without a context manager.
 
-- Use **sessions** for iterative workloads.
-- Use **batch mode** to submit multiple primitive jobs simultaneously.
 
 ## Best practices
 
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 7e068d05d57..80e19d0bbec 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -5,11 +5,11 @@ description: An overview of the available execution modes in Qiskit Runtime; ses
 ---
 # Introduction to Qiskit Runtime execution modes
 
-There are several ways to run jobs, depending on your needs.
+There are several ways to run workloads, depending on your needs.
 
 **Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
 
-[**Sessions mode**](sessions): A dedicated window for running multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
+[**Sessions mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 

From ef39b4e099c38343a95ae3088e2ee2b07f4ad38c Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Tue, 16 Apr 2024 17:20:02 -0500
Subject: [PATCH 22/62] review comments

---
 docs/run/execution-modes.mdx |  2 +-
 docs/run/run-jobs-batch.mdx  | 41 ++++++++++++++++++------------------
 2 files changed, 22 insertions(+), 21 deletions(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 80e19d0bbec..12c78b95e64 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -22,7 +22,7 @@ To ensure the most efficient use of the execution modes, the following practices
     
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#divide) or [session](run-jobs-in-session#two-vqe) execution mode. 
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode. 
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
 
diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index 64ca068c0cc..2d34f92c179 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -19,23 +19,24 @@ Batch mode can shorten processing time if all jobs can be provided at the outset
 
 There are multiple ways you can reconfigure your jobs to take advantage of the parallel processing provided by batching.
 
-## Example: Divide a list of circuits into multiple jobs and run them in batch
-
-The following example shows how you can divide up a long list of circuits into multiple jobs and run them as a batch to take advantage of the parallel processing.
-
-```python
-from qiskit_ibm_runtime import SamplerV2 as Sampler, Batch
-
-max_circuits = 100
-all_partitioned_circuits = []
-for i in range(0, len(circuits), max_circuits):
-    all_partitioned_circuits.append(circuits[i : i + max_circuits])
-jobs = []
-start_idx = 0
-
-with Batch(backend=backend):
-    sampler = Sampler()    
-    for partitioned_circuits in all_partitioned_circuits:
-        job = sampler.run(partitioned_circuits)
-        jobs.append(job)
-```
+<span id="partition"></span>
+## Example: Partition a list of circuits into multiple jobs and run them in batch
+
+The following example shows how you can partition a long list of circuits into multiple jobs and run them as a batch to take advantage of the parallel processing.
+
+ ```python 
+ from qiskit_ibm_runtime import SamplerV2 as Sampler, Batch 
+  
+ max_circuits = 100 
+ all_partitioned_circuits = [] 
+ for i in range(0, len(circuits), max_circuits): 
+     all_partitioned_circuits.append(circuits[i : i + max_circuits]) 
+ jobs = [] 
+ start_idx = 0 
+  
+ with Batch(backend=backend): 
+     sampler = Sampler()     
+     for partitioned_circuits in all_partitioned_circuits: 
+         job = sampler.run(partitioned_circuits) 
+         jobs.append(job) 
+ ``` 

From b7e4d37fdf979be7f22d829343a5a5c8fb9c8a2e Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 17 Apr 2024 14:32:55 -0500
Subject: [PATCH 23/62] move images around

---
 docs/api/migration-guides/sessions.mdx          |   6 +++---
 docs/run/execution-modes.mdx                    |   2 +-
 public/images/run/SessionTTL.png                | Bin 51290 -> 0 bytes
 .../{ => execution-modes}/SessionVsBatch.psd    | Bin
 .../{ => execution-modes}/SessionVsBatch.svg    |   0
 .../SessionVsBatch@dark.psd                     | Bin
 .../SessionVsBatch@dark.svg                     |   0
 .../run/{ => sessions}/ExtendedSession.psd      | Bin
 .../run/{ => sessions}/ExtendedSession.svg      |   0
 .../run/{ => sessions}/ExtendedSession@dark.psd | Bin
 .../run/{ => sessions}/ExtendedSession@dark.svg |   0
 public/images/run/{ => sessions}/SessionTTL.psd | Bin
 public/images/run/{ => sessions}/SessionTTL.svg |   0
 .../run/{ => sessions}/SessionTTL@dark.psd      | Bin
 .../run/{ => sessions}/SessionTTL@dark.svg      |   0
 15 files changed, 4 insertions(+), 4 deletions(-)
 delete mode 100644 public/images/run/SessionTTL.png
 rename public/images/run/{ => execution-modes}/SessionVsBatch.psd (100%)
 rename public/images/run/{ => execution-modes}/SessionVsBatch.svg (100%)
 rename public/images/run/{ => execution-modes}/SessionVsBatch@dark.psd (100%)
 rename public/images/run/{ => execution-modes}/SessionVsBatch@dark.svg (100%)
 rename public/images/run/{ => sessions}/ExtendedSession.psd (100%)
 rename public/images/run/{ => sessions}/ExtendedSession.svg (100%)
 rename public/images/run/{ => sessions}/ExtendedSession@dark.psd (100%)
 rename public/images/run/{ => sessions}/ExtendedSession@dark.svg (100%)
 rename public/images/run/{ => sessions}/SessionTTL.psd (100%)
 rename public/images/run/{ => sessions}/SessionTTL.svg (100%)
 rename public/images/run/{ => sessions}/SessionTTL@dark.psd (100%)
 rename public/images/run/{ => sessions}/SessionTTL@dark.svg (100%)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index f81f070df4a..d0e7d62bb19 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -56,11 +56,11 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
 
 Before this release, sessions were terminated after the active window, as shown in the following image.
 
-![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/SessionTTL.png 'Figure 1: Session behavior prior to extended sessions') 
+![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/sessions/SessionTTL.svg 'Figure 1: Session behavior prior to extended sessions') 
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/ExtendedSession.svg 'Figure 2: Extended sessions')
+[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/sessions/ExtendedSession.svg 'Figure 2: Extended sessions')
 
 ## Batch
 
@@ -85,7 +85,7 @@ with Batch(backend):
 
 ## Sessions versus batch 
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/SessionVsBatch.svg 'Figure 3: Sessions compared to batch')
+[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
 
 ## Billing
 
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 12c78b95e64..4e10cd26d03 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -30,7 +30,7 @@ The above are general guidelines, and you should tune your workload to find the
 
 The following image illustrates when the system is locked for your use in session and batch modes. When running a session, the system is locked for your use from the time the session starts until it ends, which includes classical computation time at the beginning and end of each job, and time between jobs.  For batch mode, the system is locked for your use from the time the first job starts being processed on the system until the last job is done being run on the system.
 
-[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/SessionVsBatch.svg 'Sessions compared to batch')
+[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
 
 ## Billing
 
diff --git a/public/images/run/SessionTTL.png b/public/images/run/SessionTTL.png
deleted file mode 100644
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diff --git a/public/images/run/SessionVsBatch.psd b/public/images/run/execution-modes/SessionVsBatch.psd
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similarity index 100%
rename from public/images/run/SessionVsBatch.svg
rename to public/images/run/execution-modes/SessionVsBatch.svg
diff --git a/public/images/run/SessionVsBatch@dark.psd b/public/images/run/execution-modes/SessionVsBatch@dark.psd
similarity index 100%
rename from public/images/run/SessionVsBatch@dark.psd
rename to public/images/run/execution-modes/SessionVsBatch@dark.psd
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similarity index 100%
rename from public/images/run/SessionVsBatch@dark.svg
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diff --git a/public/images/run/ExtendedSession.psd b/public/images/run/sessions/ExtendedSession.psd
similarity index 100%
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similarity index 100%
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diff --git a/public/images/run/ExtendedSession@dark.psd b/public/images/run/sessions/ExtendedSession@dark.psd
similarity index 100%
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diff --git a/public/images/run/SessionTTL.psd b/public/images/run/sessions/SessionTTL.psd
similarity index 100%
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similarity index 100%
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From 45a3da2841460da741365d9c383fd33e15da1430 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 17 Apr 2024 16:58:14 -0500
Subject: [PATCH 24/62] usage

---
 docs/api/migration-guides/sessions.mdx | 37 +++++++++++++-------------
 docs/run/execution-modes.mdx           | 24 ++++++++---------
 2 files changed, 30 insertions(+), 31 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index d0e7d62bb19..52f8412d760 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,7 +8,7 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution mode changes
 
-Workloads can be run as single jobs, sessions, or in a batch: 
+Workloads can be run as single jobs, sessions, or in a batch:
 
 - Use **sessions** mode for iterative workloads.
 - Use **batch** mode to submit multiple primitive jobs simultaneously.
@@ -17,21 +17,21 @@ Workloads can be run as single jobs, sessions, or in a batch:
 
 ## Best practices
 
-To ensure the most efficient use of the execution modes, the following practices are recommended:  
+To ensure the most efficient use of the execution modes, the following practices are recommended:
 
 - Always close your session, either by using a context manager or by specifying `session.close()`.
-- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job. 
-    
+- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
+
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode. 
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
- 
+
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session. 
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
 <span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading
@@ -52,19 +52,19 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
     nelder_mead_result = executor.submit(minimize_thread, estimator2, "nelder-mead").result()
 ```
 
-### Extended sessions 
+### Extended sessions
 
 Before this release, sessions were terminated after the active window, as shown in the following image.
 
-![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/sessions/SessionTTL.svg 'Figure 1: Session behavior prior to extended sessions') 
+![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/sessions/SessionTTL.svg 'Figure 1: Session behavior prior to extended sessions')
 
-With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue. 
+With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue.
 
 [This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/sessions/ExtendedSession.svg 'Figure 2: Extended sessions')
 
 ## Batch
 
-Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed. 
+Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed.
 
 <span id="divide"></span>
 ### Example: divide a 500-circuit job into five 100-circuit jobs and run them in batch
@@ -76,18 +76,19 @@ jobs = []
 start_idx = 0
 
 with Batch(backend):
-    sampler = Sampler()    
+    sampler = Sampler()
     while start_idx < len(circuits):
-        end_idx = start_idx + max_circuits  
+        end_idx = start_idx + max_circuits
         jobs.append(sampler.run([(circuits[start_ids:end_idx],)]))
         start_idx = end_idx
 ```
 
-## Sessions versus batch 
+## Sessions versus batch QPU usage
 
-[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
+QPU usage is a measurement of the amount of time the system is locked for your workload.
 
-## Billing
+* Session QPU usage is the entire active session time.
+* Batch QPU usage is the amount of time all jobs spend on the system.
+* Single job QPU usage is the quantum time they use in processing.
 
-* Single jobs are billed for the quantum time they use in processing. 
-* Sessions are billed for the entire active session time. 
+[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 4e10cd26d03..1abde972862 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -9,31 +9,29 @@ There are several ways to run workloads, depending on your needs.
 
 **Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
 
-[**Sessions mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples. 
+[**Sessions mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples.
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
 ## Best practices
 
-To ensure the most efficient use of the execution modes, the following practices are recommended:  
+To ensure the most efficient use of the execution modes, the following practices are recommended:
 
 - Always close your session, either by using a context manager or by specifying `session.close()`.
-- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job. 
-    
+- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
+
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode. 
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
 
-## Sessions versus batch 
-
-The following image illustrates when the system is locked for your use in session and batch modes. When running a session, the system is locked for your use from the time the session starts until it ends, which includes classical computation time at the beginning and end of each job, and time between jobs.  For batch mode, the system is locked for your use from the time the first job starts being processed on the system until the last job is done being run on the system.
+## Sessions versus batch QPU usage
 
-[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
+QPU usage is a measurement of the amount of time the system is locked for your workload.
 
-## Billing
+* Session QPU usage is the entire active session time.
+* Batch QPU usage is the amount of time all jobs spend on the system.
+* Single job QPU usage is the quantum time they use in processing.
 
-* Single jobs are billed for the quantum time they use in processing. 
-* Sessions are billed for the entire active session time. 
-* For batched jobs, you are billed for the time the QPU complex is processing your job. 
+[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')

From 882752e8574c0341fd5a6d07f22282853e0c2068 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 18 Apr 2024 10:40:40 -0500
Subject: [PATCH 25/62] Update dark images

---
 .../run/execution-modes/SessionVsBatch.psd    | Bin 354912 -> 4928160 bytes
 .../run/execution-modes/SessionVsBatch.svg    |  60 +++++++-----
 .../execution-modes/SessionVsBatch@dark.psd   | Bin 379811 -> 4985294 bytes
 .../execution-modes/SessionVsBatch@dark.svg   |  91 ++++++++----------
 4 files changed, 77 insertions(+), 74 deletions(-)

diff --git a/public/images/run/execution-modes/SessionVsBatch.psd b/public/images/run/execution-modes/SessionVsBatch.psd
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diff --git a/public/images/run/execution-modes/SessionVsBatch.svg b/public/images/run/execution-modes/SessionVsBatch.svg
index a5c01f1ce9d..307c1ccc240 100644
--- a/public/images/run/execution-modes/SessionVsBatch.svg
+++ b/public/images/run/execution-modes/SessionVsBatch.svg
@@ -1,53 +1,63 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="765" height="362" viewBox="0 0 765 362">
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="8000" height="3600" viewBox="0 0 8000 3600">
   <defs>
     <style>
-      .cls-1, .cls-2, .cls-3 {
-        font-size: 13.333px;
-      }
-
       .cls-1 {
-        fill: #131619;
+        fill: #be95ff;
       }
 
-      .cls-1, .cls-2, .cls-3, .cls-4, .cls-5, .cls-6, .cls-7 {
-        font-family: "IBM Plex Sans";
+      .cls-1, .cls-2 {
+        fill-rule: evenodd;
       }
 
       .cls-2 {
+        fill: #d0e2ff;
+      }
+
+      .cls-3, .cls-4 {
+        font-size: 13.333px;
+      }
+
+      .cls-3 {
         fill: #262626;
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-      .cls-3, .cls-5, .cls-7 {
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+        font-family: "IBM Plex Sans";
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+
+      .cls-4, .cls-6, .cls-8 {
         fill: #393939;
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-      .cls-3, .cls-6, .cls-7 {
+      .cls-4, .cls-7, .cls-8 {
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+      .cls-5, .cls-7 {
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+      .cls-8 {
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REUW9gIty27dYUO+Uew2VIztporu8z77emBWsD88ANRBFMUqlUrKpNO8wQOtwIX8yliru+M31q8jZ/fqbP8RDY8NKPADFfK9Wta3QYt61iodZBW7u4HcEcTMIPQDQB2k02nl83kCP9ACfM/XwOhFDY9eUKxYnblenR04rJ37/k6FXI8KbV0qRSUdPr1Luw/9QkvmrdMt6z+tBT2rJeMR/DEjCP0AMMd831ehvV2pIKDpgRaQCtI6fPo1Pbvvezp78bC2rLpXD9/2TX3lY/+TCrkuBdVrQSks6/zgMT2z56/0vWf/tR68+etavegmGYI/ZgBz+gFgDtmR/fa2NqVTjLkAraIclbRh2e1avfBGjRQHNTx2yU3fac91K4xDFctF92Grei3oWq0v3vnfa/OKe/ToS3+qM/0H5XNHEDOA0A8Ac8hO6cllszQ50EJ8P9DgyAUdO/umNq+6R13tfTLGLuD94GJ+ozAqusJe9974Nc3vWqoX9/9Qofs6gj+uDUNNADBHstmM2nI5mhtoMb4XaNeBx9XdvkCfvu0bkudXPiYQm0hpL6W7tnxV333mX+niwAnN717J/h64Joz0A8Ass2/TqVRKhbZ2Fu4CLcbzAo2VBnX83H6tWnyj2rJdymc6phy3D6OyFvWsUWd7nw6d2SMZdvLGtSH0A8AsC3xfnYWCW8ALoLXY+fjF8ojK0Zh6CwtdTf4oDqdsAzv9Jx2k1dk2X/1DZxRXqvhz9uAj4x0IAGaRHdkvtLVdrs4BoPXYevuVcfrpTc+xNwYDz7fbd1G8B9eM0A8As6iNhbtAS7Mj9tl0mzJBVgMjF2serLe1/ctR2dX3t2sBuFOIazXrC3n96q1tAHPDvjF41dec53vVNwqGiKZiq2vYN1mves2y7TbdRXNx/N6cW/ud+VzOhX5aH2hddpTfzuGf17lUB0+9rk0r71LKS8tMcmWI3fz9WOcHTurCpaO6/4avVqf2MK8fH92sh35bni5LtQpgzqRSgc6fO+/mkXa2F9Td1f2+MIqrczvkZrNuGk5nR4faC+3TCv1RFGloeNj9bmXSabXn87Q20PIq15Gtaz6uH+z8dzpy+g2tXbzNfe5q15ggSOvs+Xf14v4fqBQVNa9zuXo7V1C5B9ds1kO/nc8aUK0CmDN2lNpz5eA8+YFf+TvNP6WgeofEXrPsKH8w3ZH+6tfa73GVetrbuR0PwLGVeFYu2KL1S2/Rk7u/o+72RertWix7dbbXjCuvNHYOfzke0+7DT7s5/V+6+18ok867aULAteAdCQBmkA36hfY2pVi4C+AyoziO9LEtv6qutvn6/s5/rbePvaCx8rCb/lMZmDGuPn8pHHNlPtPprOsU7Dr4mEZLl+QxfINrxOZcAFB1ecTtI7632m9ra2tTJp2hSQG8jw30uUxBn9vxe3py13/Rz1/5My3sWaUlvdeps22eK+N59tIRmTjSrRs/o8/v+O9UKg1X9vnwM6wNwjUj9ANoaXY6z+VpPPZeuvf+zP++f59CLpdTLssaJgBXZ4N9Osjpkzf/tratfVBvHHlSR87sUiksummZbdkObVh2uzra5mtB13L3M4wnFUslCjLgmhH6AbQsu8DZhvoP7pI7PnPWfj4Mw0pFpCnWJtmvsaU5WcIEYDJ2xN+LYvV1L9cnen9Tts5CMRyR76eVSaUVG6kcFjVWLtKOmFHM6QfQkuxi21de26VfPve8RkdH5fvVtG4qI/22is/RY8f12BNP6dKlS64a0mSu1nkAgKuxEwnDKHTBvhSV5Pspd0exWC66wA/MBkI/gNZkjKuws2fvm3p254saGxurzO7xKqP2x44d1+NPPKUojJTJZrmxDmCWmOoUQq4ymF1M7wHQkmw9/c3Xb3Qh/+lf7tTTv0xXynV6vo4ePa6dL7ykBfP7dP99d7u5+tTIBgA0M0I/kFCE1MmZ6pz+zddvcivl7DQfWwfb1up/8ulntXzZEt1/791ug0E2NwMANDum9wBJYyrz1QsFNoeaiu0YuRH/zRt19513SJ6vwcFhF/gfuO8e5fM5Aj8AIBEY6QcSJopjLVrYp4/f/zG1t7URWqcwHvyvv36DGwY5e/acbt52k5vSQ9sBAJKC0A8kjA2x2WzWbRJly01iapXgH2vThvXauGG9+zuBHwCQJIR+IIFsaCXwT48L/nY7/GlsxgUAQLNgwi8AXIHADwBIIkI/AAAAkHCEfgAAACDhGnpO//S3tDezs6Gd1zj75Hk1HoiRp2k3X43czza1LXI0s3QMH0Vtbee5/82aWqeONNI5p6k3ipzN863yH2jCdqvlQLzL/zcrmKoEABjXsKHfBoiRkVENj47WvDW1J09thW75fjBzB2Kk8lCsqDRzP/Ij86RMpy9/ymfNU2lsWMVS7W1XK/vTUkFa+XyH28RoMiY0Kg0a1dg/mFV+RsoU/Cnylafi2JBKxdEZz2FGRulU1rXblOnYnnODsaLybLZIbbxAynZ6kj/ZMXsql0Y1Njpce690Gnw/pXxbZ017Drh2a4DXqp+WMh1TnW92c7BQw8OXau/U1Mj+tLZcXm353EcYPGkNdIfwkZjqR7O8rKonOv1/qFFDv32TKpXK2vXGXp05e67Gi7OR76e1cctdyucLMzPC5VVeMGd3G40cN7M7klnL4fjSwh2+sh2Tv4Btp+fEsZM6ceztGT+GOIrU1dOn1eu2K5VKT/jWacNi8aLR2VciRWP1vUDGkVRY5mveDf6kz6Ftt6OHj+v0iQMzfry23eb1LdPKNVunDK/2uT39gnHtV89zLjZSvstT382B6zRNxLbbmTMXdOTArpk/hjhSodCrtRtuViabn/R1bTvDZ141Gj5Z53aLpLZFnvq2TX6+2U7z6MiY9u95RZH9ppk8hjjW/HnzdPNNW13wZ8QfDeHKsOw1Yc/Lq9y9bqQ72LW43My1tDljBInWkKHfhqJiqajz5y+qXA5rGqmyb2qplKc4Ni6szNh7nKm8iUfR1AO0s82LK49rysdn7PEaReHMBgnLbmIUR7G7bsSTHIMd8LVlzqNq29U79EdxdYBmsmOubmwVReGMH7BtNxPHlTab6tw01XYLKx29ejFXtNtkz7V7jcSVDa5m+k3chv642m61vK6juP6vVdtu9ty3H5M9f5XXc+zazbXdTB6DMeq/2K/R0VG15fOMa1/BVO8kd+SnOK8xK+x7QzpovlPSHm6+IC1Z3WTnjbF3uo0687G8dG3fkvJnaao06q4hQ7+p1sq2I2Hu9xrfwd3XzsLxeNU3iUYY6a/1EKbTbtPhT+fnele0Wx3bzp9qdsoVKu0280nbtVmtB+E6vtXnu57nXPW5q+VOduXheTP+PuH70zuPfa8BXqs1n/OV1rLnm+fN/Bw4d/30veYcUZ1lgS8t6E70Q2xocanSOW6qY46knkVS75LmfDGZadxNNGT+xGJzLkwLF4JrMI3Ga8Z25tyYrlnumdRyV6mFMeOpjpq07V0YbrLOCnAlSnYCQF141eBJ+gQAzD5CPwAAmDssFgXqguk9AFAnVNOcG4HvuTUnaAB2nVDsuzLGQFJ5ge8+Gg2hHwCQaJUF+jzHjcL4HmsqkGi2iII3jeIdc4XpPQAAYO4Q+JF0DXqOM9IPAEg0WwaakeXGYWLjPoAEn+XyovptFOlPcJeB0A8ASLTIbtpIyGwYxm7wyPOBBHNbtcT1m96T8YOrfp7pPQAAAEDCMdIPAACQYM26kJ2tTGYWoR8A0HLCmOe8HjzK9M89IxVHmzM7+ylpgpkqH2I7Ng1YMKehEPpn3YdLxRlWlNXE+0DDsXtpbTz7lnpl09mt42m3SV0+10w1kdBmiRbF0ul+KSb418W8vJQPuJrPBXtpK41Je5/zFBWb69jte37Xdb7a+rwpzxX774V0rO58TKdyEoT+GfLBYG+D1+XQ4BkX9N2XeJ786in5wVDRin2Bq91ydG3njef7uJLDbJ1t125+tWVpuw+dc974eVVpEPtrvAMw3npXC7Kt2Qcdbzxz+f9NHCk2sXw/qLbWxG2G5uVVz/mxIqG/XuJsNX3w0pp9XuU8HzzvqTRimus2Syyll3nye7wpzxX7GHN2MywTcytpEoT+GXC18GVD/sjYJR09u0/Hzr2p4bFL8r1AC7pXaPXibZrXsVipIOtCBle+93i+rzAs6cLAcR049ZrODZxQGBXVnu3SigWbtXT+dSrkumW7Tka8Y4/zPF+xiTQwdEaHz76hk+ffVbE8okw6r8W9q7Vy4VZ1tS+Qr6Dl2833fPeitS/b2Bid7T+kN48+qwtDpxXFoVJ+Wgu7V2ndku3q6VjiOgHcnUseOw3AEA7m3vv725htpjrtJZCCVHPNrXL53a++Vqf4Wo+yNDUh9M8wG75sSN118HG9sP9HLmQV8j3KpvOK41BvHHlWL7z1I61fvF23XPdZzetapiuGtVuaDVfn+o/o2b3f1eHTb6gt36X2XK8C39eZS0f07qnXlfbTunn9p3T9intcoGUUttJuQ6MX9cL+H2jv4Wfdudae61ImlddoaUgnzr+jX+75rraueUDb1n9KHbluF3ZbkjE6efEdDY31u9fcwp6VeuPIL3Xy/Dta2LNKuXReg6P9eufkK3r1nUd1/cq7devGf6B8pkDwB2YCLyNME6fMzCH0zyA7kj9WHtJjr/6F3jnxsm5e/6BuXP2AOtv7XDCzgaMYjujImX16Zvdf62+e+QM9fNvvakXf5pYPFIGfcndEfvT8HymXKejh239HKxdsVTaTd6P6cRxpcPScdh14Qk/s+o5OXjioB7b9Q2VTbS0d/H0/pf6hk/rh8/9BA8PndM+WL+u6ZXeoLdfhOqDGxBorDWvfkWf1zBt/7e48PXzr76qnY1HLnXP2Dpy9G7L74BPadfAJnek/pK898L/qns1fVhBklEmlq18olcKy3j3xsh5/9S90aeScPr7tN9WW7Wz51ykAoHlxQ2QG2WkDT+3+jg6eel1fuvtbum/rr7vAH8WRymFJ5aiswM9ow7Jb9Osf/9+0bP51+tlLf6qzl47Kb9Z6WjPABv5zl47p+8/+Oy2bv0G/dv//oo3LdigdZBSGoWs7G9Y68326b+tX9eV7/oXePfGKnt37PTcdo1Un8HleoGJpSN/f+Ycycazf+MT/6Tqa+Wy7oqjSbvZ3e0fkluse1G998v9SGJX06Mt/opGxgQ8tlE46G9h9P607r3/EjfDbCT72vEqncnbZjYrlYuWjVHRDS5uW36Gv3vs/63T/Ie188+9cx7OZzrUPr3wBALQyQv8MSQUZHTy9S/uO7NTDt/6Oli+4vhK6XCg1lz/syKv9fCaV0UO3/o7Sqaxe2P99laOSG5ltRbZlntrzX92UlAdu+k2lU3mVwuIV6x0qC6EjE6oYlrRmyQ166Jbf1qtvP6oTF96W16I1umxn6fUDj6l/4JQ+fds31d2+wLWb7WSa8XazM/jj2IXZ7kKfPrfjn+rkhXe178gz8kzrFc9LBWm9ffIlRVHkpjtl0+2ufeIPrHOwr1PbZvM6l+jTt35Dbx17QcfO7W+5jhIAIDkI/TPCcyHh5bd/otWLbtSaxdsURuUPjbN51YBlR6lPXTykXKZNd1//iN4+/pIuDp5q2s0zrkUQpHXqwts6euYN3bXlEeWyHS6EfZDvpTQ4ck77jz2nwZEBbVxxp1Ys3KzX3v254qi5RmBngu0gjpUG9fLbP9Mt131G87uWKYzCD/1ke/epHI1qz4En3KLohT3LdfvGz7kpLiPlwWZ86B9Zpc2GXGdx65r79aV7/ketX3L7pAubS2FJqxZs1pKeNdp39Gm3LqdpzjX6JwCAKxD6Z0DgBW6++ZEze3XdstvdHHSNVwm5/M7ruZFZu2jwb5/9Nzp94YCiOHZ3BOxcYTu/uBVvxgeerwMnX3dtsHTeRhf4XaUB/71T085bHyleclOhnn3jexorD8tW5tq4/A4dP/e2SuFoyy31sefSqQsHZEyk9ctucdNUvGqwHT/n7BqTyJT1yz1/rb9/7S80OJZP3FEAABrTSURBVHrBlTVbu/gmDRcvuSlVrTRybc+p4dELKoZjWtF3vfLZDldBa3KVLsG6pbfo/KWTGiuPNE3n3JVp5c4EAKCK0D8DbJnJ0eKQm7Pf2TbPhYIoLrnpAKXyqHxbW97z9drBx/XTF/6jdmz6ghuptnXBc+l29bQv1Jn+w9WC6a3zJm1DSWRiXRo+p0JbrzLpnOso2Uo0Z/uPuq+xwdUG/h+98Ec6N3BUD9/6TdfGYWzU27HY3VEZHutvualRdg3IxaFTyqTb1N2+0LWmLdF56sI7MiZ0Adeeg0++/m29/M7P9Jnbvqml8zaoHIXqKixULt2hwZHzDfBI5o7tjA8X+10n3VY2it00qKnLl9ppZu5ci8vu9ew1y2vUtOwmDACAqyD0zxAbDGyYsKHVLrAcKw7rpy/9sX75xl8pNCW9cfgp/fj5/6Ad139Rd27+klsDYC5v/xm4QNGSjHFTJrKpvAtTQZDSO8df1l8/9S914tx+Nx3jRzv/yHUCvnjXt7Rk3rpqBZXxtotULA23aNNFrlNk28NOk7Kdor999t/qjcPPqByO6cld39Yrbz+qz+/4PW1cvuPyjsZuezhPrsPUaoxdx+B5067Pbr/P7QnptVbHHACQHJTsnAE2dGVSOUVxWaOlATeC2NE+Tw/c+Bv60Yt/rNOXjujkubf1sS1f1Z2bf6WyvNLErnNQjosaLvVrZdvGlgsTpjqSn8916eyZo9XFzIE2r/qYDp3epb/b+Ydqy3a4kpOP3PMtLeldczmo2s6VvQNgv76jrbflpve4Lcfbet3Is+0YpVMZLevbqO3rHtSTu76j3Yee0KnzB/S5Hb+nTcvvdG2r8Zr+Yxdc/f58tlD3xzGX7Ou0Pd/lXqel8khlx5opTxvP3akbGDnjFphnU+3UxAEANCVG+meAnU9tN+Dq61yq4+ffqVZMiXTd8tvdtIrTF9/V7Zs+rx2bH3HTCYypTCmw87LP9x/VxYETWty77vKm/62jsiW4LV06PDag/qEz7nN21P/zd/4zLeldq5HioB65+3/Q4p7V7x+Z9uRKo3a09ak939Nyu3fYCj19nSsVxqGOntlbrclvdOfmR3Tbxs/pzMXD+uwd/62uW37H5cCv6vqTk+cPuPbqsxvDtVDD2Tsj7bkepfyMTl54p/rZyTranlsEbTvmb594WT2FRW7fCGr1A8C41qsC18wY6Z8BNsTbUdMtax7Qy2/9SJuW73Db9xfLJa1dvF2//fC/VVu2y/2HxgNDZbJArFcPPObKAs53Aaz12CC/etFW5TPtevXdR90mSLYzFPhpfeb2f6IwLqk9010tfVphyy6evnBIe488o/u2fs3tehy3WOq3U6LsPPOVCzbr9QOPa+2S7cpl2l0d/ts2fFZbVt6tQr73fe0W+IFGXMWfH2rt0u3qal/QUgHW7kKcz3Ro88qP6bV3H3OvzfZs94TnTjaV0S9e+3O36PnkhQP6zG3/xFWRGu+0A0Drqk55HL/36XmV2Y/vfQYNiJH+GVIOy9q66l6lgpx+8fq3NTp2SYFf2fynI99bGcO3U3pcRQ1fnh+4solvHn1Od2z6gusU1LKoMGlsm9jFzLaM5J6DT7l66JbdbMoutmzPdrn6/NVaJC642uksj732l+opLNaGpberJWudVtvujus/r9P9B/XCmz+orgvx3P8qgT9yXzd+ztmA/+wb31X/0HltW/cpNzWqtRi3WdnN6x9yrfL0nr9yO2jbKU+VKjfe5fPMTetJSWcuHXGbwC3uXaMF3csJ/ABakr1GVj4qFeLGSgNu3d2bx3Zqz+GndODkK+ofOuEGmrz3VS5EI2Gkf4a48Jrt1Gdu/6b+5pk/0E9e/k+6e/OXNa9z6eWu1Xj5PFtlZc+hJ/Xk69/R7Zs+pw1Lb3WjkK06a8CO5m9ZdY8rW/roy3/qFubaqVG2Pb24cumwCy9tG5++dFRPvPZtXRw6qS/e9c/Vlrt6Xf9WYKf2LOperYdv/V39+IX/6Npx+/qH1Nk2X5Ex1Xbz3Hk1MnZRz+39nnYfelKfufUbWti9uiUDrO2E5+3r9LZv6G+f+zf6+St/5l6D9s5c4FUvh57txBcVlAK3l4bteF4YOK63jr+g61fe03JTyQC0NvteYQdI7LXPltC2hUt+/ML/o/ODJ9zdUzuIaddJRVFJKxfdpJvW3K8FXatkWm7KcuMj9M+gMCpq6fwN+tLd39Kjr/yJ/ubpf6X1S292NcFtgLWB49ylw9p/9AWdHTiqO7f8im677rPVBYWt+8KwI9B2isV9N/66m6Ly1O7/qj2Hn9b1K+5Sb2GJ/CDlLjiHTu3SOydeVnuuW1+485+54Bq1atUjx7jpUVtWfcxNiXr8tb/Uuydf1aYVd2pRz1q3uLxUHtPp/gN68+hOtyDa7txry8VGV9nIq1XY1+mC7lV65O5v6fHX/txVPFo2b72Wzt+kbDqvwdHzOnp2n7uLdOf1X9YNqx5w06ZcB97wJgagddhiG0PFi25Azob8Qq5bD9z4D7Vt7SfVVVjk1jParymGozrbf8htUvqD5/9Q997w61qzeHsLrlVsbIT+GVYOS1o0b71+7f7/XW8cekr7jz2vd0++4rb0T/lpteUKLpB9Yvtvacm8DS58MWWgOvXJ83XPlq9o3ZKb9co7j2r3gcc1NHbJdQhSfkpdbQt0x8bP64bV91Xnr7dy4K+wcyftQl0b5JfN36RX3v2ZDp163c3zt3cCbLt15nu1dsnN2r7+QXW3L6Dd7OvUhviOJXrkzt/XWydedG22/9gv3V4bdiF5d2GJ5ncv1+LetVo6b537HruZXmt3MgG0msoU3A6tWbRN+47s1Elz0AX6TSvvUBiZ6p32WNlUm3qW9mnd4u16bu939bOX/l99+rZ/rNWLbmS7kAZC6J8F9haXHXm9ecNDunHtxzU4ck6jpRGl/YwKbV3KZzrdplThFVVVULm4lMKiFvSsdtOkRkYHXHlJOzfdXlAKbfOUSWcUlssE1yvYOyV2Oko+16H7tv6qSpu+oP7hs+5zdl2ELe2Zz+RdJ4Bz7j32HLJT7uwdpc0r71JYLqkcl12bpQJf5SiivQC0NDuwZDeBHCkNaVHPGpWjMTvHR6Vy6GYvvCeWvYFsy2nffcOXNVwa1BO7vu3uyNsd91nc2xgI/TPA9mI/uJbUBrFSuegmCHe2LVRXuy+ZyM21tsEWE4uisqJIyqTaNL+zUNlMqboIs9KmH2xrGlOuok+kYhzZ5c6a17H0inaL3J2mq2n1thvvMKm65sZumhebUMUyJxUA2EIH5weOas+hX+j+G/+Ryzrd7X0TFh6J3YBmpLs2f0nvHH9R7556WTesup8ZPg2C0D9DJg5PhlHpSUwWOiP7K4qm/iEtaqK2sxfjOGLK2HS9t9MzAEBub5eUDpx6XW3Zbi3v26hCrsdlmniSacm2gk9HrlPrlt6qfUd3avOKj1V2j+f6WneU7AQAAMCH2JH9c5eOq7vQ5+6+25kKkwX+cWFstLR3vYZHLrqKhVTwbAyEfgAAAHyIcQVKxlw1OLfH0DTSeyadc3eebTlpUn9jIPQDAADgqtrzXRopDiqeRvUyu0bKVt+zVQszQZ6pkw2C0A8AAIAPsUudbOni/sHTGhrtr20HfPtNxrj9Tno7llZG/Mn8DYHQDwAAgA+xe5OsXLDFFuTUgVOvun+eeIpPpWLc3qNP6/UDj+no2b2VXcw9n5H+BkH1HgAAAHyI3T+nI9+rrasf0PP7f6DFvWu0qGe9q8tvPjB87/ue4tjTa+8+oSNndmnj8h1a0beJvN9AGOkHAADAVdmdyrevfVArF9ygn770pzp8dpcry2lH/N3iXjeS78nElXSfSqU1NHrRbax5duAoS3gbCCP9AAAAuCo72m836Xrw5q/rF6/9pX64899r9cKbtGn5DnV19Lka/Ha+/7Fz+7Vm0Y3asPRWtWc7VQ5LKpXHZDxm9zSKhg39lbtGtZ8l47eZ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+  <path id="Rectangle_1_copy" data-name="Rectangle 1 copy" class="cls-2" d="M235,3432H367v132H235V3432h0Z"/>
+  <text id="Session" class="cls-3" transform="translate(115.899 206.017) scale(9.816)">Session</text>
+  <text id="Batch" class="cls-3" transform="translate(4401.096 215.833) scale(9.816)">Batch</text>
+  <text id="System_locked_for_your_use" data-name="System locked for your use" class="cls-4" transform="translate(6399.16 603.274) scale(9.816)"><tspan x="0">System locked for your use</tspan></text>
+  <text id="Quantum_computation" data-name="Quantum computation" class="cls-5" transform="translate(450.249 3327.433) scale(9.816)">Quantum computation</text>
+  <text id="System" class="cls-5" transform="translate(4432.448 3449.898) scale(9.816)">System</text>
+  <text id="Cost_function" data-name="Cost function" class="cls-6" transform="translate(494.42 530.726) scale(9.816)">Cost function</text>
+  <text id="Session-2" data-name="Session" class="cls-5" transform="translate(474.788 1570.41) scale(9.816)">Session</text>
+  <text id="Classical_computation" data-name="Classical computation" class="cls-5" transform="translate(450.249 3545.831) scale(9.816)">Classical computation</text>
+  <text id="_Results_" data-name="{Results}" class="cls-7" transform="translate(2163.904 1346.832) scale(9.816)"><tspan x="0">{Results}</tspan></text>
+  <text id="_params_" data-name="{params}" class="cls-5" transform="translate(3340.432 1010.898) scale(9.816)">{params}</text>
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diff --git a/public/images/run/execution-modes/SessionVsBatch@dark.psd b/public/images/run/execution-modes/SessionVsBatch@dark.psd
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index e06fee0b5cc..d9877f7d1a8 100644
--- a/public/images/run/execution-modes/SessionVsBatch@dark.svg
+++ b/public/images/run/execution-modes/SessionVsBatch@dark.svg
@@ -1,82 +1,75 @@
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-
-      .cls-3, .cls-4 {
         font-size: 13.333px;
       }
 
-      .cls-3 {
+      .cls-1 {
         fill: #f4f4f4;
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-      .cls-10, .cls-3, .cls-4, .cls-5, .cls-6, .cls-7, .cls-8 {
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-      .cls-10, .cls-4, .cls-8 {
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+  <text id="Session" class="cls-1" transform="translate(69.487 149.395) scale(10.365)">Session</text>
+  <text id="Batch" class="cls-1" transform="translate(4542.56 149.395) scale(10.365)">Batch</text>
+  <text id="System_locked_for_your_use" data-name="System locked for your use" class="cls-2" transform="translate(6450.712 614.855) scale(10.365)"><tspan x="0">System locked for your use</tspan></text>
+  <text id="Quantum_computation" data-name="Quantum computation" class="cls-3" transform="translate(358.715 3351.046) scale(10.365)">Quantum computation</text>
+  <text id="System" class="cls-4" transform="translate(4461.344 3478.63) scale(10.365)">System</text>
+  <text id="Cost_function" data-name="Cost function" class="cls-5" transform="translate(389.357 465.448) scale(10.365)">Cost function</text>
+  <text id="Session-2" data-name="Session" class="cls-6" transform="translate(396.627 1579.741) scale(10.365)">Session</text>
+  <text id="Classical_computation" data-name="Classical computation" class="cls-7" transform="translate(352.583 3520.868) scale(12.966)">Classical computation</text>
+  <path class="cls-8" d="M197,3238H329v132H197V3238h0Z"/>
+  <path id="Rectangle_1_copy" data-name="Rectangle 1 copy" class="cls-9" d="M197,3424H329v132H197V3424h0Z"/>
+  <text id="_Results_" data-name="{Results}" class="cls-10" transform="translate(2172.752 1336.986) scale(10.365)"><tspan x="0">{Results}</tspan></text>
+  <text id="_Params_" data-name="{Params}" class="cls-6" transform="translate(3304.752 1043.953) scale(10.365)">{Params}</text>
+  <text id="System_locked_for_your_use-2" data-name="System locked for your use" class="cls-11" transform="translate(2117.192 2699.143) scale(10.365)"><tspan x="0">System locked for your use</tspan></text>
 </svg>

From 3117e2773361c78c662b2ee272a4d3e04516038b Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 19 Apr 2024 13:55:12 -0500
Subject: [PATCH 26/62] Add info about partitioning jobs

---
 docs/run/run-jobs-batch.mdx | 37 +++++++++++++++++++------------------
 1 file changed, 19 insertions(+), 18 deletions(-)

diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index 2d34f92c179..cf3491baa3c 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -8,8 +8,9 @@ description: How to run quantum computing jobs in batch mode using Qiskit Runtim
 
 Batch mode can shorten processing time if all jobs can be provided at the outset. If you want to submit iterative jobs, use [sessions](sessions) instead.  Using batch mode has these benefits:
 
--  The jobs' classical computation, such as compilation, is run in parallel. Thus, running multiple jobs in a batch is significantly faster than running them serially. 
--  There is minimal delay between jobs, which can help avoid drift. 
+-  The jobs' classical computation, such as compilation, is run in parallel. Thus, running multiple jobs in a batch is significantly faster than running them serially.
+-  There is minimal delay between jobs, which can help avoid drift.
+-  If you partition your workload into multiple jobs and run them in batch mode, you can get results from individual jobs, which makes them more flexible to work with.  For example, if a job's results don't meet your expectations, you can cancel the remaining jobs. Also, if one job fails, you can re-submit it instead of re-running the entire workload.
 
 <Admonition type="note">
     When batching, jobs are not guaranteed to run in the order they are submitted. Also, while your batch jobs will run as closely together as possible, they don't get exclusive access to the backend. Therefore, your batch jobs might run in parallel with other users' jobs if there is enough processing capacity on the system. Additionally, system calibration jobs could run between the batched jobs.
@@ -24,19 +25,19 @@ There are multiple ways you can reconfigure your jobs to take advantage of the p
 
 The following example shows how you can partition a long list of circuits into multiple jobs and run them as a batch to take advantage of the parallel processing.
 
- ```python 
- from qiskit_ibm_runtime import SamplerV2 as Sampler, Batch 
-  
- max_circuits = 100 
- all_partitioned_circuits = [] 
- for i in range(0, len(circuits), max_circuits): 
-     all_partitioned_circuits.append(circuits[i : i + max_circuits]) 
- jobs = [] 
- start_idx = 0 
-  
- with Batch(backend=backend): 
-     sampler = Sampler()     
-     for partitioned_circuits in all_partitioned_circuits: 
-         job = sampler.run(partitioned_circuits) 
-         jobs.append(job) 
- ``` 
+ ```python
+ from qiskit_ibm_runtime import SamplerV2 as Sampler, Batch
+
+ max_circuits = 100
+ all_partitioned_circuits = []
+ for i in range(0, len(circuits), max_circuits):
+     all_partitioned_circuits.append(circuits[i : i + max_circuits])
+ jobs = []
+ start_idx = 0
+
+ with Batch(backend=backend):
+     sampler = Sampler()
+     for partitioned_circuits in all_partitioned_circuits:
+         job = sampler.run(partitioned_circuits)
+         jobs.append(job)
+ ```

From 346afce751cc618a6f18dd2c435d0ec1c6fd3506 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 19 Apr 2024 14:25:14 -0500
Subject: [PATCH 27/62] Move migration guide

---
 docs/api/migration-guides/_toc.json    |  8 ++++----
 docs/api/migration-guides/sessions.mdx |  4 ++--
 docs/run/execution-modes.mdx           |  1 +
 docs/run/sessions.mdx                  | 13 +++++++------
 4 files changed, 14 insertions(+), 12 deletions(-)

diff --git a/docs/api/migration-guides/_toc.json b/docs/api/migration-guides/_toc.json
index 76164e7503c..cda8ca49ab6 100644
--- a/docs/api/migration-guides/_toc.json
+++ b/docs/api/migration-guides/_toc.json
@@ -31,6 +31,10 @@
         "title": "Migrate to local simulators",
         "url": "/api/migration-guides/local-simulators"
       },
+      {
+        "title": "Execution modes changes",
+        "url": "/api/migration-guides/sessions"
+      },
       {
         "title": "Migrate to Qiskit Runtime",
         "children": [
@@ -55,10 +59,6 @@
             "title": "V2 primitives",
             "url": "/api/migration-guides/v2-primitives"
           },
-          {
-            "title": "Sessions",
-            "url": "/api/migration-guides/sessions"
-          },
           {
             "title": "qiskit_ibm_provider to qiskit_ibm_runtime",
             "url": "/api/migration-guides/qiskit-runtime-from-provider"
diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 52f8412d760..3c4282a2160 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -6,7 +6,7 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 <span id="execution-modes"></span>
 
-# Execution mode changes
+# Execution modes changes
 
 Workloads can be run as single jobs, sessions, or in a batch:
 
@@ -60,7 +60,7 @@ Before this release, sessions were terminated after the active window, as shown
 
 With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue.
 
-[This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/sessions/ExtendedSession.svg 'Figure 2: Extended sessions')
+![This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/sessions/ExtendedSession.svg 'Figure 2: Extended sessions')
 
 ## Batch
 
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 1abde972862..432ac0dccba 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -13,6 +13,7 @@ There are several ways to run workloads, depending on your needs.
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
+<span id="best-practices"></span>
 ## Best practices
 
 To ensure the most efficient use of the execution modes, the following practices are recommended:
diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index a8c7107ab31..52b514233d6 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -28,8 +28,8 @@ There are several benefits to using sessions:
 
 The basic workflow for sessions is as follows:
 
-1. The first job in a session enters the normal queue. 
-2. When the first job starts running, the _maximum timeout_ clock starts. 
+1. The first job in a session enters the normal queue.
+2. When the first job starts running, the _maximum timeout_ clock starts.
 2. Subsequent jobs within the session are prioritized over others, reducing wait times.
 3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A deactivated session can be resumed for the next job<sup>*</sup> if the session has not reached its maximum timeout value.
 3. If the maximum timeout value is reached, the sessions end and any remaining queued jobs fail.
@@ -45,7 +45,7 @@ The basic workflow for sessions is as follows:
 To find the maximum session timeout value for a session, follow the instructions in [Determine session details](run-jobs-in-session#session-details).
 
 <Admonition type="note">
-    There might be a limit imposed on the ITTL value depending on whether your hub is Premium, Open, and so on. 
+    There might be a limit imposed on the ITTL value depending on whether your hub is Premium, Open, and so on.
 </Admonition>
 
 For instructions to start a session, see [Run a job in a session](run-jobs-in-session).
@@ -53,9 +53,9 @@ For instructions to start a session, see [Run a job in a session](run-jobs-in-se
 <span id="ends"></span>
 ## End a session
 
-A session can end in the following circumstances: 
+A session can end in the following circumstances:
 
-* The maximum timeout is reached, resulting in the cancelation of all queued jobs. 
+* The maximum timeout is reached, resulting in the cancelation of all queued jobs.
 * The session is manually canceled, resulting in the cancelation of all queued jobs.
 * The session is manually closed.  The session stops accepting new jobs but continues to run queued jobs with priority.
 
@@ -86,6 +86,7 @@ session.close()
 ## Next steps
 
 <Admonition type="tip" title="Recommendations">
-  - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial. 
+  - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial.
   - Review the [Session API](https://docs.quantum.ibm.com/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
+  - Review the execution modes [best practices.](execution-modes#best-practices)
 </Admonition>
\ No newline at end of file

From d73a252c3d96d37cc3f6d1e287ca79082b32acf5 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 19 Apr 2024 14:40:36 -0500
Subject: [PATCH 28/62] minor edits

---
 docs/run/run-jobs-in-session.mdx | 42 ++++++++++++++++----------------
 docs/run/sessions.mdx            |  1 +
 2 files changed, 22 insertions(+), 21 deletions(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 566b0a3a5fd..ba151744912 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -25,7 +25,7 @@ service = QiskitRuntimeService()
 ## Open a session
 
 You can open a runtime session by using the context manager `with Session(...)` or by initializing the `Session`
-class. The session starts when its first job begins execution. 
+class. The session starts when its first job begins execution.
 
 <Admonition type="caution" title="Important">
     If the first session job is canceled, subsequent session jobs will all fail.
@@ -65,7 +65,7 @@ The context manager automatically opens and closes the session.
 <Tabs>
   <TabItem value="PrimV2" label="V2 primitives">
 ``` python
-backend = service.least_busy(operational=True, simulator=False)    
+backend = service.least_busy(operational=True, simulator=False)
 with Session(service=service, backend=backend):
   estimatorv2 = EstimatorV2()
   samplerv2 = SamplerV2()
@@ -74,7 +74,7 @@ with Session(service=service, backend=backend):
 
   <TabItem value="PrimV1" label="V1 primitives">
 ``` python
-backend = service.least_busy(operational=True, simulator=False)    
+backend = service.least_busy(operational=True, simulator=False)
 with Session(service=service, backend=backend):
   estimator = Estimator()
   sampler = Sampler()
@@ -82,7 +82,7 @@ with Session(service=service, backend=backend):
   </TabItem>
 </Tabs>
 
-When you start a session,  you must specify a system. This can be done by specifying its name or by passing a `backend` object. 
+When you start a session,  you must specify a system. This can be done by specifying its name or by passing a `backend` object.
 
 **Specify a system by name**
 
@@ -92,7 +92,7 @@ with Session(service=service, backend="ibm_sherbrooke"):
     ...
 ```
 
-**Pass a `backend` object** 
+**Pass a `backend` object**
 
 ``` python
 backend = service.least_busy(operational=True, simulator=False)
@@ -103,32 +103,32 @@ with Session(backend=backend):
 <span id="specify-length"></span>
 ## Session length
 
-You can define the maximum session timeout with the `max_time` parameter. This should exceed the longest job's execution time and be within the system's limits. 
+You can define the maximum session timeout with the `max_time` parameter. This should exceed the longest job's execution time and be within the system's limits.
 
 ``` python
 with Session(service=service, backend=backend, max_time="25m"):
-  ...   
+  ...
 ```
 
 There is also an interactive timeout value (ITTL, or interactive time to live) that cannot be configured.  If no session jobs are queued within that window, the session is temporarily deactivated. To determine a session's ITTL, follow the instructions in [Determine session details](#session-details) and look for the `interactive_timeout` value.
 
 <span id="close"></span>
-## Close a session 
+## Close a session
 
-A session automatically closes when it exits the context manager. With qiskit-ibm-runtime 0.13 or later releases, when the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
+A session automatically closes when it exits the context manager. With `qiskit-ibm-runtime` 0.13 or later releases, when the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
 
 ``` python
 with Session(service=service, backend=backend) as session:
     estimator = Estimator()
     job1 = estimator.run(...)
     job2 = estimator.run(...)
-    
-# The session is no longer accepting jobs but the submitted job will run to completion.    
+
+# The session is no longer accepting jobs but the submitted job will run to completion.
 result = job1.result()
 result2 = job2.result()
 ```
 
-If you are not using a context manager, it's good practice to manually close the session once all the necessary results have been retrieved. With qiskit-ibm-runtime 0.13 or later releases, when a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
+If you are not using a context manager, manually close the session after all the necessary results have been retrieved. With `qiskit-ibm-runtime` 0.13 or later releases, when a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
 
 ``` python
 session = Session(backend=backend)
@@ -143,24 +143,24 @@ session.close()
 ```
 
 <span id="cancel"></span>
-## Cancel a session 
+## Cancel a session
 
-Canceling a session immediately closes it, failing all queued jobs and preventing new submission. Use the `session.cancel()` method to cancel a session.  Any jobs that are already running continue to run but queued jobs are put into a failed state and no further jobs can be submitted to the session. This is a convenient way to quickly fail all queued jobs within a session. 
+Canceling a session immediately closes it, failing all queued jobs and preventing new submission. Use the `session.cancel()` method to cancel a session.  Any jobs that are already running continue to run but queued jobs are put into a failed state and no further jobs can be submitted to the session. This is a convenient way to quickly fail all queued jobs within a session.
 
 ``` python
 with Session(service=service, backend=backend) as session:
     estimator = Estimator()
     job1 = estimator.run(...)
     job2 = estimator.run(...)
-    # You can use session.cancel() to fail all pending jobs, for example, 
+    # You can use session.cancel() to fail all pending jobs, for example,
     # if you realize you made a mistake.
     session.cancel()
 ```
 
-
+<span id="mult-jobs-in-session"></span>
 ## Invoke multiple primitives in a session
 
-A session can handle multiple primitives, allowing for various operations within a single session.  The following example shows how you can create both an instance of the `Sampler` class and one of the `Estimator` class and invoke their `run()` methods within a session. 
+A session can handle multiple primitives, allowing for various operations within a single session.  The following example shows how you can create both an instance of the `Sampler` class and one of the `Estimator` class and invoke their `run()` methods within a session.
 
 <Tabs>
   <TabItem value="PrimV2" label="V2 primitives">
@@ -225,15 +225,15 @@ You can query a session's status to understand its current state by using  `sess
 
 Session status can be one of the following:
 
-- `Pending`: The session has not started or has been deactivated. The next session job needs to wait in the queue like other jobs. 
+- `Pending`: The session has not started or has been deactivated. The next session job needs to wait in the queue like other jobs.
 - `In progress, accepting new jobs`: The session is active and accepting new jobs.
-- `In progress, not accepting new jobs`: The session is active but not accepting new jobs. Job submission to the session is rejected, but outstanding session jobs will run to completion. The session is automatically closed once all jobs finish. 
+- `In progress, not accepting new jobs`: The session is active but not accepting new jobs. Job submission to the session is rejected, but outstanding session jobs will run to completion. The session is automatically closed once all jobs finish.
 - `Closed`: The session's maximum timeout value has been reached or the session was explicitly closed.
 
 <span id="session-details"></span>
 ## Determine session details
 
-For a comprehensive overview of a session's configuration and status, use the  `session.details() method`. 
+For a comprehensive overview of a session's configuration and status, use the  `session.details() method`.
 
 <Tabs>
   <TabItem value="EstimatorV2" label="Estimator V2">
@@ -268,6 +268,6 @@ with Session(service=service, backend=backend) as session:
 ## Next steps
 
 <Admonition type="tip" title="Recommendations">
-  - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial. 
+  - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial.
   - Review the [Session API](https://docs.quantum.ibm.com/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
 </Admonition>
\ No newline at end of file
diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index 52b514233d6..f05bdc9e6fb 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -89,4 +89,5 @@ session.close()
   - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial.
   - Review the [Session API](https://docs.quantum.ibm.com/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
   - Review the execution modes [best practices.](execution-modes#best-practices)
+  - Learn how to [run a job in a session.](run-jobs-in-session)
 </Admonition>
\ No newline at end of file

From 3b8b7aff1a3fcfd484b3edcb4805c52db09d1269 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Fri, 19 Apr 2024 15:18:37 -0500
Subject: [PATCH 29/62] Apply suggestions from code review

Co-authored-by: Ashley Silva <asarver1@gmail.com>
---
 docs/api/migration-guides/sessions.mdx | 4 ++--
 docs/run/run-jobs-in-session.mdx       | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 3c4282a2160..44ec3559cb0 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -20,7 +20,7 @@ Workloads can be run as single jobs, sessions, or in a batch:
 To ensure the most efficient use of the execution modes, the following practices are recommended:
 
 - Always close your session, either by using a context manager or by specifying `session.close()`.
-- There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
+- There is a fixed overhead associated with running a job. In general, if each job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
 
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
@@ -31,7 +31,7 @@ The above are general guidelines, and you should tune your workload to find the
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have near exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
 <span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading
diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index ba151744912..d4e49ed0fe7 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -115,7 +115,7 @@ There is also an interactive timeout value (ITTL, or interactive time to live) t
 <span id="close"></span>
 ## Close a session
 
-A session automatically closes when it exits the context manager. With `qiskit-ibm-runtime` 0.13 or later releases, when the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
+A session automatically closes when it exits the context manager. With `qiskit-ibm-runtime` 0.13 or later releases, when the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately canceled. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
 
 ``` python
 with Session(service=service, backend=backend) as session:

From 4355c8756ba95f94f56b8e21ce3f58fb1d3546d5 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 19 Apr 2024 16:13:37 -0500
Subject: [PATCH 30/62] Comments from review

---
 docs/api/migration-guides/sessions.mdx | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 44ec3559cb0..984cf79ec6a 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -31,7 +31,7 @@ The above are general guidelines, and you should tune your workload to find the
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
 <span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading
@@ -64,10 +64,10 @@ With extended sessions, the session pauses after the active window ends. The ses
 
 ## Batch
 
-Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed.
+Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed, however, individual jobs might run between batch jobs.
 
 <span id="divide"></span>
-### Example: divide a 500-circuit job into five 100-circuit jobs and run them in batch
+### Example: Partition a 500-circuit job into five 100-circuit jobs and run them in batch
 ```python
 from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler
 

From 1a3e877c47cf92b4cb13de258e0248956fa74789 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 22 Apr 2024 13:24:46 -0500
Subject: [PATCH 31/62] No sessions for Open plan.

---
 docs/api/migration-guides/sessions.mdx | 4 ++++
 docs/run/run-jobs-in-session.mdx       | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 984cf79ec6a..2a79e1aad8a 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -33,6 +33,10 @@ The above are general guidelines, and you should tune your workload to find the
 
 Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
+<Admonition type="note">
+Session execution mode is not supported in the Open plan. Jobs will run in job mode instead.
+</Admonition>
+
 <span id="two-vqe"></span>
 ### Example: Run two VQE algorithms in a session by using threading
 
diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index d4e49ed0fe7..ac580c52e2a 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -8,6 +8,10 @@ description: How to run a quantum computing job in a Qiskit Runtime session.
 
 There are several ways to set up and use [sessions](sessions).  It is recommended that you do not run a session with a single job in it.
 
+<Admonition type="note">
+Session execution mode is not supported in the Open plan. Jobs will run in job mode instead.
+</Admonition>
+
 <Admonition type="caution" title="Important">
 The way sessions are started within Qiskit Runtime has changed. **By 1 April 2024**, upgrade to `qiskit-ibm-runtime` version 0.20.0 or later, or `qiskit-ibm-provider` version 0.10.0 or later. In addition, ensure you are using Qiskit version 0.45.0 or later. Starting 1 April, session calls made in earlier versions of these packages will fail.
 </Admonition>

From e4020ae1ad5f178874e54e457f595365d910026f Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 24 Apr 2024 14:59:11 -0500
Subject: [PATCH 32/62] Add FAQs

---
 docs/run/_toc.json               |   4 +
 docs/run/execution-modes-faq.mdx | 187 +++++++++++++++++++++++++++++++
 docs/run/execution-modes.mdx     |   2 +-
 docs/run/sessions.mdx            |  12 +-
 4 files changed, 199 insertions(+), 6 deletions(-)
 create mode 100644 docs/run/execution-modes-faq.mdx

diff --git a/docs/run/_toc.json b/docs/run/_toc.json
index a64bbdb4934..a01a016f243 100644
--- a/docs/run/_toc.json
+++ b/docs/run/_toc.json
@@ -57,6 +57,10 @@
         {
           "title": "Run jobs in a batch",
           "url": "/run/run-jobs-batch"
+        },
+        {
+          "title": "FAQs",
+          "url": "/run/execution-modes-faq"
         }
       ]
     },
diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
new file mode 100644
index 00000000000..25195283c1a
--- /dev/null
+++ b/docs/run/execution-modes-faq.mdx
@@ -0,0 +1,187 @@
+---
+title: Execution modes FAQs
+description: Answers to commonly asked questions about Qiskit Runtime execution modes
+
+---
+# Qiskit Runtime execution modes FAQs
+
+<details>
+  <summary>
+    Does Qiskit Runtime local testing mode support different execution modes?
+  </summary>
+
+Local testing mode supports the syntax for the different execution modes, but because there is no scheduling involved when testing locally, the modes are ignored.
+</details>
+
+<details>
+  <summary>
+    How many jobs can run in parallel for a specific backend?
+  </summary>
+
+The number of jobs running in parallel is based on the degree of parallelism configured for the backend, which is five for most backends.
+</details>
+
+<details>
+  <summary>
+    Are there reasons other than cost why I would choose session or batch mode?
+  </summary>
+
+  Yes.  Session and batch modes each have advantages.  Choose the mode that best fits your needs.
+
+  - Sessions have greater efficiency because multiple jobs from a single algorithm run can be run sequentially without interruptions.  Additionally, you can submit jobs, check results, and submit new jobs within an active session without needing to start a new one.
+  - Batch mode has minimal delay between jobs, which can help avoid drift. Also, if you partition your workload into multiple jobs and run them in batch mode, you can get results from individual jobs.
+</details>
+
+## Sessions
+
+<details>
+  <summary>
+    What happens to my jobs if a session is closed?
+  </summary>
+
+If you are using the `Session` class in `qiskit-ibm-runtime`:
+
+  - `Session.close()` means the session no longer accepts new jobs, but existing jobs run to completion.
+  - `Session.cancel()` cancels all pending session jobs.
+
+If you are using the REST API directly:
+
+  - `PATCH /sessions/{id}` with `accepting_jobs=False` means the session no longer accepts new jobs, but existing jobs run to completion.
+  - `DELETE /sessions/{id}/close` cancels all pending session jobs.
+</details>
+
+<details>
+  <summary>
+    If I am using session mode and expect my experiment to take many hours, is there a way to ask for calibrations to happen?
+  </summary>
+
+No. On-demand calibration is not available.
+</details>
+
+<details>
+  <summary>
+    Is there an interactive timeout (ITTL) with session mode?
+  </summary>
+
+Yes. This reduces unwanted cost if a user forgets to close their session.
+</details>
+
+<details>
+  <summary>
+    How does session usage impact IBM Quantum Network members who are not billed by usage?
+  </summary>
+
+IBM Quantum Network members gain reserved capacity on IBM Quantum systems. Usage is deducted from this capacity and hubs with lower capacity have longer queueing time.
+</details>
+
+<details>
+  <summary>
+    Do I get the same parallelism in session mode that I get with batch mode?
+  </summary>
+
+Yes. If you submit multiple jobs simultaneously in a session, these jobs will run in parallel.
+</details>
+
+<details>
+  <summary>
+    Can sessions be interrupted by system jobs?
+  </summary>
+
+No.  Sessions run in dedicated mode, which means that the user has total access to the backend.  Sessions are never interrupted by system jobs, such as calibrations or software upgrades.
+</details>
+
+<details>
+  <summary>
+    Is compilation time counted as usage in sessions mode?
+  </summary>
+
+Yes.  In session mode, the entire time the session is active counts as usage.  The session becomes active when the first session job starts running.
+</details>
+
+## Batch
+
+<details>
+  <summary>
+    How many jobs run in parallel in batch mode?
+  </summary>
+
+The number of jobs running in parallel is based on the degree of parallelism configured for the backend, which is five for most backends. However, the number of concurrent jobs in an active batch could be lower because there could be other jobs already running when the batch becomes active.
+</details>
+
+<details>
+  <summary>
+    How is running _N_ PUBs in job mode different from running _N_ single-PUB jobs in batch mode?
+  </summary>
+
+The main difference is the time and cost trade off:
+
+Batch mode:
+
+- The total run time is less because the classical processing might run in parallel.
+- There is a slight overhead for running each job, so you end up paying a little more for batched jobs. This overhead correlates to the size of the job. For example, the total usage of two jobs, each containing 40 100x100 circuits is six seconds more than a single job containing 80 circuits.
+- Because batch mode doesn't give you exclusive access to a backend, jobs inside a batch might run with other users' jobs or system calibration jobs.
+- If some jobs fail, you still get results from the completed jobs.
+- You can take action in the middle of a batch workload based on the results of completed jobs. For example, you can cancel the rest of the jobs if the initial results look incorrect.
+
+Job mode:
+
+- The total run time is likely to be higher because there is no parallelism.
+- You don't pay for the extra per-job overhead associated with batch workloads.
+- All of your circuits will run together.
+- If this single job fails, you don't get partial results.
+- Your job might hit the system limit if it contains too many circuits or if the circuits are too large.
+
+In general, if your each of your jobs consumes less than a minute of QPU time, consider combining them into a larger job (this applies to all execution modes).
+</details>
+
+<details>
+  <summary>
+    How many jobs I can submit in a batch?
+  </summary>
+
+There are no limits regarding how many jobs you can submit in a Batch. There are, however, limits on how much usage your jobs can consume based on your plan.
+</details>
+
+<details>
+  <summary>
+    When would my batch mode jobs run in parallel with other users' jobs?
+  </summary>
+
+The degree of parallelism configured for a backend is also called "execution lanes". If there are one or more execution lanes available, and your batch jobs are next in line to be run, the scheduler starts enough jobs to fill the lanes. Similarly, if your batch doesn't have enough jobs to fill the lanes, the scheduler starts other users' jobs.
+
+Example: The backend you choose has five execution lanes, and two of them are currently occupied by other users' jobs. Your batch of six jobs is next in line to be run.
+
+Because there are three available lanes, the scheduler starts three of your six batch jobs. It continues to start jobs in your batch as jobs finish and execution lanes become available. If a lane becomes available and there are no more jobs in your batch, the scheduler starts the next job in line.
+</details>
+
+<details>
+  <summary>
+    Do all of mybBatch jobs need to wait in the queue?
+  </summary>
+
+Because QPUs are limited and shared resources, all jobs need to wait in the queue. However, when the first job in your batch starts running, all the other jobs in that batch essentially jump to the front of the queue and are prioritized by the scheduler.
+</details>
+
+<details>
+  <summary>
+    Does a batch end automatically when the last associated job ends?
+  </summary>
+
+Yes. However, there is a slight overhead associated with this auto-detection, so you should always close your batch and session.
+</details>
+
+<details>
+  <summary>
+    Can batches be interrupted by system jobs?
+  </summary>
+
+Yes.  Batch workloads might be interrupted by system jobs, such as calibrations or software upgrades.
+</details>
+
+<details>
+  <summary>
+    Is compilation time counted as usage in batch mode?
+  </summary>
+
+No.  In batch mode, only time spent on the quantum hardware counts as usage.
+</details>
\ No newline at end of file
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 432ac0dccba..6193adeef25 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -35,4 +35,4 @@ QPU usage is a measurement of the amount of time the system is locked for your w
 * Batch QPU usage is the amount of time all jobs spend on the system.
 * Single job QPU usage is the quantum time they use in processing.
 
-[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
+![This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index f05bdc9e6fb..b4baed2b42d 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -28,13 +28,15 @@ There are several benefits to using sessions:
 
 The basic workflow for sessions is as follows:
 
-1. The first job in a session enters the normal queue.
+1. The first job in a session enters the normal queue. The job's owner become the priority user.
 2. When the first job starts running, the _maximum timeout_ clock starts.
-2. Subsequent jobs within the session are prioritized over others, reducing wait times.
-3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A deactivated session can be resumed for the next job<sup>*</sup> if the session has not reached its maximum timeout value.
-3. If the maximum timeout value is reached, the sessions end and any remaining queued jobs fail.
+2. Subsequent jobs within the session are prioritized over other jobs, reducing wait times.
+3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A job can reactivate the deactivated session<sup>*</sup> if the session has not reached its maximum timeout value.
+3. If the maximum timeout value is reached, the session ends and any remaining queued jobs fail.
 
-<video title="A line of users is shown. The one in the current session becomes larger than the rest and has rotating arrows around them, indicating that they are the priority. Boxes (jobs) are seen being sent to the QPU (represented by a chandelier) from the current user. Other users begin to pop up during the animation and their jobs appear beneath them as they wait for the prioritized user's session to end. A progress bar appears above the prioritized user to represent the interactive TTL. After the prioritized user's session finishes, the line moves ahead toward the system, and the next person's jobs can begin processing." className="max-w-auto h-auto" controls>
+The following video illustrates session basic workflow:
+
+<video title="A user starts a session job and becomes the priority user.  They submit jobs to the quantum system while other users wait. After the prioritized user's session finishes, the next person's jobs can begin processing." className="max-w-auto h-auto" controls>
   <source src="/videos/run/sessions/demo.mp4" type="video/mp4"></source>
 </video>
 

From 5496ce3fd2e0c9928a58a68ab90776735bd10cc5 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 24 Apr 2024 15:29:41 -0500
Subject: [PATCH 33/62] usage

---
 docs/api/migration-guides/sessions.mdx | 10 +++++-----
 docs/run/execution-modes.mdx           | 10 +++++-----
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 2a79e1aad8a..f20faf1e27b 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -87,12 +87,12 @@ with Batch(backend):
         start_idx = end_idx
 ```
 
-## Sessions versus batch QPU usage
+## Sessions versus batch usage
 
-QPU usage is a measurement of the amount of time the system is locked for your workload.
+Usage is a measurement of the amount of time the system is locked for your workload.
 
-* Session QPU usage is the entire active session time.
-* Batch QPU usage is the amount of time all jobs spend on the system.
-* Single job QPU usage is the quantum time they use in processing.
+* Session usage is the entire active session time.
+* Batch usage is the amount of time all jobs spend on the system.
+* Single job usage is the quantum time they use in processing.
 
 [This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 6193adeef25..26a8dc77ecf 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -27,12 +27,12 @@ To ensure the most efficient use of the execution modes, the following practices
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
 
-## Sessions versus batch QPU usage
+## Sessions versus batch usage
 
-QPU usage is a measurement of the amount of time the system is locked for your workload.
+Usage is a measurement of the amount of time the system is locked for your workload.
 
-* Session QPU usage is the entire active session time.
-* Batch QPU usage is the amount of time all jobs spend on the system.
-* Single job QPU usage is the quantum time they use in processing.
+* Session usage is the entire active session time.
+* Batch usage is the amount of time all jobs spend on the system.
+* Single job usage is the quantum time they use in processing.
 
 ![This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')

From a24b1701ee05b1991c3e5449c3b63f76c070679f Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Wed, 24 Apr 2024 15:33:32 -0500
Subject: [PATCH 34/62] typo

---
 docs/run/execution-modes-faq.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index 25195283c1a..b8e56447924 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -156,7 +156,7 @@ Because there are three available lanes, the scheduler starts three of your six
 
 <details>
   <summary>
-    Do all of mybBatch jobs need to wait in the queue?
+    Do all of my batch jobs need to wait in the queue?
   </summary>
 
 Because QPUs are limited and shared resources, all jobs need to wait in the queue. However, when the first job in your batch starts running, all the other jobs in that batch essentially jump to the front of the queue and are prioritized by the scheduler.

From 4eb4fede6fbcc1c953a71735a13cd8ea93dde559 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 25 Apr 2024 17:12:23 -0500
Subject: [PATCH 35/62] Add table

---
 docs/api/migration-guides/sessions.mdx |   5 +
 docs/run/primitives-examples.mdx       | 123 +++++++++++++------------
 2 files changed, 67 insertions(+), 61 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index f20faf1e27b..f4ff8c23624 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -14,6 +14,11 @@ Workloads can be run as single jobs, sessions, or in a batch:
 - Use **batch** mode to submit multiple primitive jobs simultaneously.
 - Use **job** mode to submit a single primitive request without a context manager.
 
+|     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
+|:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
+| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are run close together.                                                                             |
+| Session Mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
 
 ## Best practices
 
diff --git a/docs/run/primitives-examples.mdx b/docs/run/primitives-examples.mdx
index 223b696a479..a7885bc664e 100644
--- a/docs/run/primitives-examples.mdx
+++ b/docs/run/primitives-examples.mdx
@@ -20,7 +20,7 @@ service = QiskitRuntimeService(channel="ibm_cloud", channel_strategy="q-ctrl")
 </Admonition>
 
 <Admonition type="note">
-    These examples all use the primitives from Qiskit Runtime, but you could use the base primitives instead. 
+    These examples all use the primitives from Qiskit Runtime, but you could use the base primitives instead.
 </Admonition>
 
 ## Estimator examples
@@ -34,7 +34,7 @@ Use Estimator to determine the expectation value of a single circuit-observable
 
 <Tabs>
   <TabItem value="EstimatorV2" label="Estimator V2">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -46,25 +46,25 @@ backend = service.least_busy(operational=True, simulator=False, min_num_qubits=1
 estimator = Estimator(backend)
 
 n_qubits = 127
- 
+
 mat = np.real(random_hermitian(n_qubits, seed=1234))
 circuit = IQP(mat)
 observable = SparsePauliOp("Z" * n_qubits)
 
 pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuit = pm.run(circuit)
-isa_observable = observable.apply_layout(isa_circuit.layout) 
+isa_observable = observable.apply_layout(isa_circuit.layout)
 
 job = estimator.run([(isa_circuit, isa_observable)])
 result = job.result()
- 
+
 print(f" > Expectation value: {result[0].data.evs}")
 print(f" > Metadata: {result[0].metadata}")
 ```
   </TabItem>
 
   <TabItem value="EstimatorV1" label="Estimator (V1)">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -142,11 +142,11 @@ for idx in range(len(pubs)):
     pub_result = job_result[idx]
     print(f">>> Expectation values for PUB {idx}: {pub_result.data.evs}")
     print(f">>> Standard errors for PUB {idx}: {pub_result.data.stds}")
-```  
+```
   </TabItem>
 
   <TabItem value="EstimatorV1" label="Estimator (V1)">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -188,7 +188,7 @@ Use Estimator to run three experiments in a single job, leveraging parameter val
 
 <Tabs>
   <TabItem value="EstimatorV2" label="Estimator V2">
-```python 
+```python
 import numpy as np
 
 from qiskit.circuit import QuantumCircuit, Parameter
@@ -243,7 +243,7 @@ print(f">>> Metadta: {pub_result.metadata}")
   </TabItem>
 
   <TabItem value="EstimatorV1" label="Estimator (V1)">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import RealAmplitudes
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -287,9 +287,9 @@ from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
 from qiskit.quantum_info import SparsePauliOp, random_hermitian
 from qiskit_ibm_runtime import QiskitRuntimeService, Session, EstimatorV2 as Estimator
- 
+
 n_qubits = 127
- 
+
 rng = np.random.default_rng(1234)
 mat = np.real(random_hermitian(n_qubits, seed=rng))
 circuit = IQP(mat)
@@ -297,17 +297,17 @@ mat = np.real(random_hermitian(n_qubits, seed=rng))
 another_circuit = IQP(mat)
 observable = SparsePauliOp("X" * n_qubits)
 another_observable = SparsePauliOp("Y" * n_qubits)
- 
+
 pm = generate_preset_pass_manager(optimization_level=1, backend=backend)
 isa_circuit = pm.run(circuit)
 another_isa_circuit = pm.run(another_circuit)
 isa_observable = observable.apply_layout(isa_circuit.layout)
 another_isa_observable = another_observable.apply_layout(another_isa_circuit.layout)
- 
+
 service = QiskitRuntimeService()
- 
+
 backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
- 
+
 with Session(service=service, backend=backend) as session:
     estimator = Estimator(session=session)
 
@@ -326,11 +326,11 @@ with Session(service=service, backend=backend) as session:
     # second job
     print(f" > Another Expectation value: {another_result[0].data.evs}")
     print(f" > More Metadata: {another_result[0].metadata}")
-```  
+```
   </TabItem>
 
   <TabItem value="EstimatorV1" label="Estimator (V1)">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -384,33 +384,34 @@ Generate entire error-mitigated quasi-probability distributions sampled from qua
 ### Run a single experiment
 
 Use Sampler to return the measurement outcome as a quasi-probability distribution (V1) or as **bitstrings** or
-   **counts** (V2) of a single circuit.  
+   **counts** (V2) of a single circuit.
 
 <Tabs>
   <TabItem value="SamplerV2" label="Sampler V2">
 ```python
 import numpy as np
+from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
 from qiskit.circuit.library import IQP
 from qiskit.quantum_info import random_hermitian
 from qiskit_ibm_runtime import QiskitRuntimeService, SamplerV2 as Sampler
- 
+
 service = QiskitRuntimeService()
- 
+
 backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
- 
+
 n_qubits = 127
- 
+
 mat = np.real(random_hermitian(n_qubits, seed=1234))
 circuit = IQP(mat)
 circuit.measure_all()
- 
+
 pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuit = pm.run(circuit)
- 
+
 sampler = Sampler(backend)
 job = sampler.run([isa_circuit])
 result = job.result()
-```  
+```
   </TabItem>
 
   <TabItem value="SamplerV1" label="Sampler (V1)">
@@ -472,10 +473,10 @@ for circuit in circuits:
 
 pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuits = pm.run(circuits)
- 
-sampler = Sampler(backend) 
+
+sampler = Sampler(backend)
 job = sampler.run(isa_circuits)
-result = job.result() 
+result = job.result()
 
 for idx, pub_result in enumerate(result):
     print(f" > Counts for pub {idx}: {pub_result.data.meas.get_counts()}")
@@ -488,7 +489,7 @@ import numpy as np
 from qiskit.circuit.library import IQP
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
 from qiskit.quantum_info import random_hermitian
-from qiskit_ibm_runtime import QiskitRuntimeService, Sampler 
+from qiskit_ibm_runtime import QiskitRuntimeService, Sampler
 
 service = QiskitRuntimeService()
 
@@ -505,9 +506,9 @@ for circuit in circuits:
 pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuits = pm.run(circuits)
 
-sampler = Sampler(backend) 
+sampler = Sampler(backend)
 job = sampler.run(isa_circuits)
-result = job.result() 
+result = job.result()
 
 print(f" > Quasi-probability distribution: {result.quasi_dists}")
 ```
@@ -522,7 +523,7 @@ Run several experiments in a single job, leveraging parameter values to increase
 
 <Tabs>
   <TabItem value="SamplerV2" label="Sampler V2">
-```python 
+```python
 import numpy as np
 from qiskit.circuit.library import RealAmplitudes
 from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
@@ -556,7 +557,7 @@ job = sampler.run([(isa_circuit, parameter_values)])
 result = job.result()
 # Get results for the first (and only) PUB
 pub_result = result[0]
-# Get counts from the classical register "meas". 
+# Get counts from the classical register "meas".
 print(f" >> Counts for the meas output register: {pub_result.data.meas.get_counts()}")
 ```
   </TabItem>
@@ -584,9 +585,9 @@ parameter_values = [
     rng.uniform(-np.pi, np.pi, size=circuit.num_parameters) for _ in range(3)
 ]
 
-sampler = Sampler(backend) 
-job = sampler.run([isa_circuit] * 3, parameter_values) 
-result = job.result() 
+sampler = Sampler(backend)
+job = sampler.run([isa_circuit] * 3, parameter_values)
+result = job.result()
 
 print(f" > Quasi-probability distribution: {result.quasi_dists}")
 ```
@@ -608,7 +609,7 @@ from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
 from qiskit_ibm_runtime import QiskitRuntimeService, SamplerV2 as Sampler, Session
 
 n_qubits = 127
-  
+
 rng = np.random.default_rng(1234)
 mat = np.real(random_hermitian(n_qubits, seed=rng))
 circuit = IQP(mat)
@@ -618,26 +619,26 @@ another_circuit = IQP(mat)
 another_circuit.measure_all()
 
 service = QiskitRuntimeService()
- 
+
 backend = service.least_busy(operational=True, simulator=False, min_num_qubits=n_qubits)
 
 pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuit = pm.run(circuit)
 another_isa_circuit = pm.run(another_circuit)
- 
-with Session(service=service, backend=backend) as session: 
-    sampler = Sampler(session=session) 
-    job = sampler.run([isa_circuit]) 
-    another_job = sampler.run([another_isa_circuit]) 
+
+with Session(service=service, backend=backend) as session:
+    sampler = Sampler(session=session)
+    job = sampler.run([isa_circuit])
+    another_job = sampler.run([another_isa_circuit])
     result = job.result()
-    another_result = another_job.result() 
- 
-# first job 
+    another_result = another_job.result()
+
+# first job
 print(f" > Counts for job 1: {result[0].data.meas.get_counts()}")
- 
-# second job 
+
+# second job
 print(f" > Counts for job 2: {another_result[0].data.meas.get_counts()}")
-```  
+```
   </TabItem>
 
   <TabItem value="SamplerV1" label="Sampler (V1)">
@@ -667,21 +668,21 @@ pm = generate_preset_pass_manager(backend=backend, optimization_level=1)
 isa_circuit = pm.run(circuit)
 another_isa_circuit = pm.run(another_circuit)
 
-options = Options() 
-options.optimization_level = 2 
-options.resilience_level = 0 
+options = Options()
+options.optimization_level = 2
+options.resilience_level = 0
 
-with Session(service=service, backend=backend) as session: 
-    sampler = Sampler(session=session, options=options) 
-    job = sampler.run(isa_circuit) 
-    another_job = sampler.run(another_isa_circuit) 
+with Session(service=service, backend=backend) as session:
+    sampler = Sampler(session=session, options=options)
+    job = sampler.run(isa_circuit)
+    another_job = sampler.run(another_isa_circuit)
     result = job.result()
-    another_result = another_job.result() 
+    another_result = another_job.result()
 
-# first job 
-print(f" > Quasi-probability distribution job 1: {result.quasi_dists}") 
+# first job
+print(f" > Quasi-probability distribution job 1: {result.quasi_dists}")
 
-# second job 
+# second job
 print(f" > Quasi-probability distribution job 2: {another_result.quasi_dists}")
 ```
   </TabItem>

From 9ba10be1c976482098cd0120a2aee60e049371c6 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Thu, 25 Apr 2024 17:13:47 -0500
Subject: [PATCH 36/62] Add to run docs as well

---
 docs/api/migration-guides/sessions.mdx | 4 +++-
 docs/run/execution-modes.mdx           | 8 ++++++++
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index f4ff8c23624..98aae6ec600 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -14,11 +14,13 @@ Workloads can be run as single jobs, sessions, or in a batch:
 - Use **batch** mode to submit multiple primitive jobs simultaneously.
 - Use **job** mode to submit a single primitive request without a context manager.
 
+The differences are summarized in the following table:
+
 |     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
 |:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
 | Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
 | Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are run close together.                                                                             |
-| Session Mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
+| Session mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
 
 ## Best practices
 
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 26a8dc77ecf..c4adc870a5e 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -13,6 +13,14 @@ There are several ways to run workloads, depending on your needs.
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
+The differences are summarized in the following table:
+
+|     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
+|:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
+| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are run close together.                                                                             |
+| Session mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
+
 <span id="best-practices"></span>
 ## Best practices
 

From 174f8e4b5c0d8cb3c17040b36c19571adf304671 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Fri, 26 Apr 2024 10:53:04 -0500
Subject: [PATCH 37/62] Apply suggestions from code review

Co-authored-by: Jessie Yu <jessieyu@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 18 +++++++++---------
 docs/run/execution-modes-faq.mdx       |  2 +-
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 98aae6ec600..544b15fde1e 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -10,9 +10,9 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 Workloads can be run as single jobs, sessions, or in a batch:
 
-- Use **sessions** mode for iterative workloads.
-- Use **batch** mode to submit multiple primitive jobs simultaneously.
-- Use **job** mode to submit a single primitive request without a context manager.
+- Use **sessions** mode for iterative workloads, or if you need dedicated access to the system
+- Use **batch** mode to submit multiple primitive jobs simultaneously to shorten processing time
+- Use **job** mode to submit a single primitive request for quick testing 
 
 The differences are summarized in the following table:
 
@@ -31,14 +31,14 @@ To ensure the most efficient use of the execution modes, the following practices
 
     A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
+- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, classical processing can be done in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
 
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. By default, all sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
+Sessions are designed for iterative workloads to avoid queueing delays between each iteration. All sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
 <Admonition type="note">
 Session execution mode is not supported in the Open plan. Jobs will run in job mode instead.
@@ -75,7 +75,7 @@ With extended sessions, the session pauses after the active window ends. The ses
 
 ## Batch
 
-Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs can start when batch jobs are being processed, however, individual jobs might run between batch jobs.
+Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs, or jobs from another batch, can start when batch jobs are being processed, however, individual jobs might run between batch jobs.
 
 <span id="divide"></span>
 ### Example: Partition a 500-circuit job into five 100-circuit jobs and run them in batch
@@ -98,8 +98,8 @@ with Batch(backend):
 
 Usage is a measurement of the amount of time the system is locked for your workload.
 
-* Session usage is the entire active session time.
-* Batch usage is the amount of time all jobs spend on the system.
-* Single job usage is the quantum time they use in processing.
+* Session usage is the wall clock time of the entire session active window.
+* Batch usage is the sum of quantum time of all jobs in the batch.
+* Single job usage is the quantum time the job uses in processing.
 
 [This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index b8e56447924..8ee19e38f54 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -18,7 +18,7 @@ Local testing mode supports the syntax for the different execution modes, but be
     How many jobs can run in parallel for a specific backend?
   </summary>
 
-The number of jobs running in parallel is based on the degree of parallelism configured for the backend, which is five for most backends.
+The number of jobs running in parallel is based on the degree of parallelism configured for the backend, which is five for most backends today.
 </details>
 
 <details>

From 5b750d28ebdbb01f820d4d6901489251f8ea8901 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 26 Apr 2024 13:54:24 -0500
Subject: [PATCH 38/62] Usage

---
 docs/api/migration-guides/sessions.mdx | 24 ++++++++-----------
 docs/run/execution-modes-faq.mdx       |  4 ++--
 docs/run/execution-modes.mdx           |  6 ++---
 docs/run/primitives-get-started.mdx    | 32 ++++++++++++++++++++++----
 4 files changed, 42 insertions(+), 24 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 544b15fde1e..a4512e25cda 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,11 +8,15 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution modes changes
 
+Utility-scale workloads can take many hours to complete, so it has become increasinly important that both the classical and quantum resources are scheduled efficiently to streamline the execution. With the improved execution modes, you have more flexibility than ever in balancing the cost and time tradeoff to use resources in a way that is optimal for your workloads.
+
+Workloads can be run in one of the execution modes: Job, Session, or Batch:
+
 Workloads can be run as single jobs, sessions, or in a batch:
 
-- Use **sessions** mode for iterative workloads, or if you need dedicated access to the system
+- Use **session** mode for iterative workloads, or if you need dedicated access to the system
 - Use **batch** mode to submit multiple primitive jobs simultaneously to shorten processing time
-- Use **job** mode to submit a single primitive request for quick testing 
+- Use **job** mode to submit a single primitive request for quick testing
 
 The differences are summarized in the following table:
 
@@ -33,7 +37,7 @@ To ensure the most efficient use of the execution modes, the following practices
 
 - If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, classical processing can be done in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
 
-The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because of reduced wall clock time.
 
 
 ## Sessions
@@ -63,16 +67,6 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
     nelder_mead_result = executor.submit(minimize_thread, estimator2, "nelder-mead").result()
 ```
 
-### Extended sessions
-
-Before this release, sessions were terminated after the active window, as shown in the following image.
-
-![This image shows four jobs.  Between each is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job completes, the active window ends and the session terminates.](/images/run/sessions/SessionTTL.svg 'Figure 1: Session behavior prior to extended sessions')
-
-With extended sessions, the session pauses after the active window ends. The session is resumed if more session jobs exit the queue.
-
-![This image shows multiple sets of jobs.  Within each set, and between each job, is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused.  Another set of jobs then starts and jobs continue in a similar manner.](/images/run/sessions/ExtendedSession.svg 'Figure 2: Extended sessions')
-
 ## Batch
 
 Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs, or jobs from another batch, can start when batch jobs are being processed, however, individual jobs might run between batch jobs.
@@ -98,8 +92,8 @@ with Batch(backend):
 
 Usage is a measurement of the amount of time the system is locked for your workload.
 
-* Session usage is the wall clock time of the entire session active window.
+* Session usage is the time from when the first job starts until the session goes inactive, is closed, or when its last job completes, whichever happens **last**.
 * Batch usage is the sum of quantum time of all jobs in the batch.
 * Single job usage is the quantum time the job uses in processing.
 
-[This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
+[This image shows multiple sets of jobs.  One set is being run in session mode and the other is being run in batch mode.  For session mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index 8ee19e38f54..503f501475f 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -28,7 +28,7 @@ The number of jobs running in parallel is based on the degree of parallelism con
 
   Yes.  Session and batch modes each have advantages.  Choose the mode that best fits your needs.
 
-  - Sessions have greater efficiency because multiple jobs from a single algorithm run can be run sequentially without interruptions.  Additionally, you can submit jobs, check results, and submit new jobs within an active session without needing to start a new one.
+  - Sessions have greater efficiency because multiple jobs from a single algorithm run can be run sequentially without interruptions.  Additionally, you can submit jobs, check results, and submit new jobs within an active session without needing to start a new one. You can use sessions for everything you can do in batch mode, such as submitting multiple jobs simultaneously to avoid drift and getting results from individual jobs. However, sessions can be more expensive to use.
   - Batch mode has minimal delay between jobs, which can help avoid drift. Also, if you partition your workload into multiple jobs and run them in batch mode, you can get results from individual jobs.
 </details>
 
@@ -92,7 +92,7 @@ No.  Sessions run in dedicated mode, which means that the user has total access
 
 <details>
   <summary>
-    Is compilation time counted as usage in sessions mode?
+    Is compilation time counted as usage in session mode?
   </summary>
 
 Yes.  In session mode, the entire time the session is active counts as usage.  The session becomes active when the first session job starts running.
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index c4adc870a5e..f56273acb41 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -9,7 +9,7 @@ There are several ways to run workloads, depending on your needs.
 
 **Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
 
-[**Sessions mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples.
+[**Session mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples.
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
@@ -33,7 +33,7 @@ To ensure the most efficient use of the execution modes, the following practices
 
 - If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
 
-The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, running smaller jobs in parallel might be more cost effective because of reduced wall clock time.
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because of reduced wall clock time.
 
 ## Sessions versus batch usage
 
@@ -43,4 +43,4 @@ Usage is a measurement of the amount of time the system is locked for your workl
 * Batch usage is the amount of time all jobs spend on the system.
 * Single job usage is the quantum time they use in processing.
 
-![This image shows multiple sets of jobs.  One set is being run in sessions mode and the other is being run in batch mode.  For sessions mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
+![This image shows multiple sets of jobs.  One set is being run in session mode and the other is being run in batch mode.  For session mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')
diff --git a/docs/run/primitives-get-started.mdx b/docs/run/primitives-get-started.mdx
index 32e9f6a51de..4f6dfe60093 100644
--- a/docs/run/primitives-get-started.mdx
+++ b/docs/run/primitives-get-started.mdx
@@ -20,7 +20,7 @@ service = QiskitRuntimeService(channel="ibm_cloud", channel_strategy="q-ctrl")
 </Admonition>
 
 <Admonition type="note">
-    These examples all use the primitives from Qiskit Runtime, but you could use the base primitives instead. 
+    These examples all use the primitives from Qiskit Runtime, but you could use the base primitives instead.
 </Admonition>
 
 <span id="start-estimator"></span>
@@ -57,6 +57,10 @@ mat = np.real(random_hermitian(n_qubits, seed=1234))
 circuit = IQP(mat)
 observable = SparsePauliOp("Z" * n_qubits)
 print(f">>> Observable: {observable.paulis}")
+```
+Output
+```text
+>>> Observable: ['ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ...']
 ```
     The circuit and observable need to be transformed to only use instructions supported by the system (referred to as *instruction set architecture (ISA)* circuits). We'll use the transpiler to do this.
 
@@ -96,7 +100,7 @@ estimator = Estimator(backend=backend)
 
 Next, invoke the `run()` method to calculate expectation values for the input circuits and observables.
 
-For Estimator V2, the circuit, observable, and optional parameter value sets are input as *primitive unified bloc* (PUB) tuples. 
+For Estimator V2, the circuit, observable, and optional parameter value sets are input as *primitive unified bloc* (PUB) tuples.
 
 <Tabs>
   <TabItem value="EstimatorV2" label="Estimator V2">
@@ -105,12 +109,23 @@ job = estimator.run([(isa_circuit, isa_observable)])
 print(f">>> Job ID: {job.job_id()}")
 print(f">>> Job Status: {job.status()}")
 ```
+Output
+```text
+>>> Job ID: 8874203f-f5a0-4491-b093-3f29a1adcae4
+>>> Job Status: JobStatus.RUNNING
+```
 
 ```python
 result = job.result()
 print(f">>> {result}")
 print(f"  > Expectation value: {result[0].data.evs}")
 print(f"  > Metadata: {result[0].metadata}")
+```
+Output
+```text
+>>> PrimitiveResult([PubResult(data=DataBin<>(evs=0.013671875, stds=0.0156235396179561), metadata={'target_precision': 0.015625})], metadata={})
+  > Expectation value: 0.013671875
+  > Metadata: {'target_precision': 0.015625}
 ```
   </TabItem>
 
@@ -148,7 +163,7 @@ backend = service.least_busy(operational=True, simulator=False, min_num_qubits=1
 
 ### 2. Create a circuit
 
-You need at least one circuit as the input to the `Sampler` primitive. 
+You need at least one circuit as the input to the `Sampler` primitive.
 
 ```python
 import numpy as np
@@ -174,7 +189,7 @@ isa_circuit = pm.run(circuit)
 
 When you initialize the `Sampler`, pass in the simulator or system you previously selected as the target.
 
-To use the Sampler V2, import the **SamplerV2** class. The **Sampler** class still refers to the version 1 Sampler, for backwards compatibility.
+To use the Sampler V2, import the **SamplerV2** class. The **Sampler** class still refers to the version 1 Sampler, for backward compatibility.
 
 <Tabs>
   <TabItem value="SamplerV2" label="Sampler V2">
@@ -209,13 +224,22 @@ job = sampler.run([isa_circuit])
 print(f">>> Job ID: {job.job_id()}")
 print(f">>> Job Status: {job.status()}")
 ```
+Output
 
+```text
+>>> Job ID: 58223448-5100-4dec-a47a-942fb30edced
+>>> Job Status: JobStatus.RUNNING
+```
 ```python
 result = job.result()
 
 # Get results for the first (and only) PUB
 pub_result = result[0]
 print(f"Counts for the meas output register: {pub_result.data.meas.get_counts()}")
+```
+Output
+```text
+Counts for the meas output register: {'0111': 50, '0000': 243, '0001': 101, '0101': 93, '0100': 188, '0011': 128, '1011': 22, '0110': 13, '1100': 10, '1000': 24, '0010': 29, '1010': 26, '1101': 20, '1110': 45, '1001': 16, '1111': 16}
 ```
   </TabItem>
 

From a8e470c809099f6c75a138806d7c81988c6edcc5 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 26 Apr 2024 16:52:59 -0500
Subject: [PATCH 39/62] Usage again

---
 docs/run/execution-modes-faq.mdx | 12 +-----------
 docs/run/execution-modes.mdx     |  2 +-
 docs/run/sessions.mdx            |  6 +++++-
 3 files changed, 7 insertions(+), 13 deletions(-)

diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index 503f501475f..546c1efd159 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -21,16 +21,6 @@ Local testing mode supports the syntax for the different execution modes, but be
 The number of jobs running in parallel is based on the degree of parallelism configured for the backend, which is five for most backends today.
 </details>
 
-<details>
-  <summary>
-    Are there reasons other than cost why I would choose session or batch mode?
-  </summary>
-
-  Yes.  Session and batch modes each have advantages.  Choose the mode that best fits your needs.
-
-  - Sessions have greater efficiency because multiple jobs from a single algorithm run can be run sequentially without interruptions.  Additionally, you can submit jobs, check results, and submit new jobs within an active session without needing to start a new one. You can use sessions for everything you can do in batch mode, such as submitting multiple jobs simultaneously to avoid drift and getting results from individual jobs. However, sessions can be more expensive to use.
-  - Batch mode has minimal delay between jobs, which can help avoid drift. Also, if you partition your workload into multiple jobs and run them in batch mode, you can get results from individual jobs.
-</details>
 
 ## Sessions
 
@@ -95,7 +85,7 @@ No.  Sessions run in dedicated mode, which means that the user has total access
     Is compilation time counted as usage in session mode?
   </summary>
 
-Yes.  In session mode, the entire time the session is active counts as usage.  The session becomes active when the first session job starts running.
+Yes.  In session mode, usage is the wall clock time the system is **committed to the session**. It starts when the first session job starts and ends when the session goes inactive, is closed, or when the last job completes, whichever happens **last**. Thus, usage continues to accumulate after a session ends if the system is still running a job. Additionally, time after a job completes while the system waits for another session job (the interactive time to live (ITTL)) counts as usage. This is why you should ensure the session is closed as soon as you are done submitting jobs to it.
 </details>
 
 ## Batch
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index f56273acb41..2a41113be71 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -39,7 +39,7 @@ The above are general guidelines, and you should tune your workload to find the
 
 Usage is a measurement of the amount of time the system is locked for your workload.
 
-* Session usage is the entire active session time.
+* Session usage is the time from when the first job starts until the session goes inactive, is closed, or when its last job completes, whichever happens **last**.
 * Batch usage is the amount of time all jobs spend on the system.
 * Single job usage is the quantum time they use in processing.
 
diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index b4baed2b42d..2be16ea6538 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -55,12 +55,16 @@ For instructions to start a session, see [Run a job in a session](run-jobs-in-se
 <span id="ends"></span>
 ## End a session
 
-A session can end in the following circumstances:
+A session ends in the following circumstances:
 
 * The maximum timeout is reached, resulting in the cancelation of all queued jobs.
 * The session is manually canceled, resulting in the cancelation of all queued jobs.
 * The session is manually closed.  The session stops accepting new jobs but continues to run queued jobs with priority.
 
+<Admonition type = "note">
+When a session ends, the system finishes running any job that is currently running.
+</Admonition>
+
 ## Usage patterns
 
 Sessions run iteratively.  This is useful for algorithms that require classical post-processing, where jobs submitted within the interactive time-out are processed immediately. If you want to submit jobs in a batch instead, see [Run jobs in a batch.](run-jobs-batch)

From d821a28c4d559afae270717e08f158a02a031187 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Fri, 26 Apr 2024 17:23:18 -0500
Subject: [PATCH 40/62] Update docs/run/run-jobs-in-session.mdx

Co-authored-by: Jessie Yu <jessieyu@us.ibm.com>
---
 docs/run/run-jobs-in-session.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index ac580c52e2a..c8742dcd1ae 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -132,7 +132,7 @@ result = job1.result()
 result2 = job2.result()
 ```
 
-If you are not using a context manager, manually close the session after all the necessary results have been retrieved. With `qiskit-ibm-runtime` 0.13 or later releases, when a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
+If you are not using a context manager, you should manually close the session to avoid unwanted cost. With `qiskit-ibm-runtime` 0.13 or later releases, you can close a session as soon as you are done submitting jobs to it. When a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
 
 ``` python
 session = Session(backend=backend)

From 0b22924ce4b7730a10a8d26c13566af9adc03630 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Fri, 26 Apr 2024 17:24:06 -0500
Subject: [PATCH 41/62] Update docs/run/run-jobs-in-session.mdx

Co-authored-by: Jessie Yu <jessieyu@us.ibm.com>
---
 docs/run/run-jobs-in-session.mdx | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index c8742dcd1ae..85418f6ce2b 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -206,6 +206,7 @@ with Session(backend=backend):
 <span id="two-vqe"></span>
 ## Run two VQE algorithms in a session by using threading
 
+You can get more out of a session by running multiple workloads at once. The following example shows how you can run two VQE algorithms, each uses a different classical optimizer, simultaneously inside a single session. Job tags are also used to differentiate jobs from each workload. 
 ```python
 from concurrent.futures import ThreadPoolExecutor
 from qiskit_ibm_runtime import  Session, EstimatorV2 as Estimator

From 9935064271ce78a2e02d9990410f80d6b6d48cff Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Fri, 26 Apr 2024 17:26:27 -0500
Subject: [PATCH 42/62] Update docs/run/sessions.mdx

Co-authored-by: Jessie Yu <jessieyu@us.ibm.com>
---
 docs/run/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index 2be16ea6538..4e8e51e4dae 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -32,7 +32,7 @@ The basic workflow for sessions is as follows:
 2. When the first job starts running, the _maximum timeout_ clock starts.
 2. Subsequent jobs within the session are prioritized over other jobs, reducing wait times.
 3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A job can reactivate the deactivated session<sup>*</sup> if the session has not reached its maximum timeout value.
-3. If the maximum timeout value is reached, the session ends and any remaining queued jobs fail.
+3. If the maximum timeout value is reached, the session ends and any remaining queued jobs fail. However, any jobs already running will run to completion.
 
 The following video illustrates session basic workflow:
 

From 4b3855d7cf1a9bae59147e2e9f540579c8c58457 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 26 Apr 2024 17:27:45 -0500
Subject: [PATCH 43/62] Comments from Jessie

---
 docs/api/migration-guides/sessions.mdx | 2 +-
 docs/run/run-jobs-batch.mdx            | 7 ++++++-
 docs/run/run-jobs-in-session.mdx       | 4 ++--
 docs/run/sessions.mdx                  | 5 +++--
 4 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index a4512e25cda..7d7b6e07884 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -23,7 +23,7 @@ The differences are summarized in the following table:
 |     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
 |:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
 | Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
-| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are run close together.                                                                             |
+| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are usually run close together.                                                                     |
 | Session mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
 
 ## Best practices
diff --git a/docs/run/run-jobs-batch.mdx b/docs/run/run-jobs-batch.mdx
index cf3491baa3c..2041e1136b2 100644
--- a/docs/run/run-jobs-batch.mdx
+++ b/docs/run/run-jobs-batch.mdx
@@ -6,10 +6,15 @@ description: How to run quantum computing jobs in batch mode using Qiskit Runtim
 
 # Run jobs in a batch
 
+
+<Admonition type="caution" title="Important">
+The way batches are started within Qiskit Runtime has changed. **By 1 April 2024**, upgrade to `qiskit-ibm-runtime` version 0.20.0 or later, or `qiskit-ibm-provider` version 0.10.0 or later. In addition, ensure you are using Qiskit version 0.45.0 or later. Starting 1 April, batch calls made in earlier versions of these packages will fail.
+</Admonition>
+
 Batch mode can shorten processing time if all jobs can be provided at the outset. If you want to submit iterative jobs, use [sessions](sessions) instead.  Using batch mode has these benefits:
 
 -  The jobs' classical computation, such as compilation, is run in parallel. Thus, running multiple jobs in a batch is significantly faster than running them serially.
--  There is minimal delay between jobs, which can help avoid drift.
+-  There is usually minimal delay between jobs, which can help avoid drift.
 -  If you partition your workload into multiple jobs and run them in batch mode, you can get results from individual jobs, which makes them more flexible to work with.  For example, if a job's results don't meet your expectations, you can cancel the remaining jobs. Also, if one job fails, you can re-submit it instead of re-running the entire workload.
 
 <Admonition type="note">
diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index ac580c52e2a..0e5ad58fdcb 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -119,7 +119,7 @@ There is also an interactive timeout value (ITTL, or interactive time to live) t
 <span id="close"></span>
 ## Close a session
 
-A session automatically closes when it exits the context manager. With `qiskit-ibm-runtime` 0.13 or later releases, when the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately canceled. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
+A session automatically closes when it exits the context manager. WWhen the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
 
 ``` python
 with Session(service=service, backend=backend) as session:
@@ -132,7 +132,7 @@ result = job1.result()
 result2 = job2.result()
 ```
 
-If you are not using a context manager, manually close the session after all the necessary results have been retrieved. With `qiskit-ibm-runtime` 0.13 or later releases, when a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
+If you are not using a context manager, manually close the session after all the necessary results have been retrieved. When a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved.
 
 ``` python
 session = Session(backend=backend)
diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index 2be16ea6538..416b860b7c6 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -28,7 +28,7 @@ There are several benefits to using sessions:
 
 The basic workflow for sessions is as follows:
 
-1. The first job in a session enters the normal queue. The job's owner become the priority user.
+1. The first job in a session enters the normal queue.
 2. When the first job starts running, the _maximum timeout_ clock starts.
 2. Subsequent jobs within the session are prioritized over other jobs, reducing wait times.
 3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A job can reactivate the deactivated session<sup>*</sup> if the session has not reached its maximum timeout value.
@@ -60,6 +60,7 @@ A session ends in the following circumstances:
 * The maximum timeout is reached, resulting in the cancelation of all queued jobs.
 * The session is manually canceled, resulting in the cancelation of all queued jobs.
 * The session is manually closed.  The session stops accepting new jobs but continues to run queued jobs with priority.
+* If you use Session as a context manager, that is,  `with Session()`, the session is automatically closed when the context ends (the same behavior as using `session.close()`).
 
 <Admonition type = "note">
 When a session ends, the system finishes running any job that is currently running.
@@ -67,7 +68,7 @@ When a session ends, the system finishes running any job that is currently runni
 
 ## Usage patterns
 
-Sessions run iteratively.  This is useful for algorithms that require classical post-processing, where jobs submitted within the interactive time-out are processed immediately. If you want to submit jobs in a batch instead, see [Run jobs in a batch.](run-jobs-batch)
+Sessions are especially useful for algorithms that require classical post-processing, where jobs submitted within the interactive time-out are processed immediately. If you want to submit jobs in a batch instead, see [Run jobs in a batch.](run-jobs-batch)
 
 Example: Run an iterative workload that uses the classical SciPy optimizer to minimize a cost function. In this model, SciPy uses the output of the cost function to calculate its next input.
 

From e2492eb8e1a2f40877efccfdb20d83ab13888928 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 26 Apr 2024 17:30:04 -0500
Subject: [PATCH 44/62] changes from review

---
 docs/run/run-jobs-in-session.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 9177f4bd3cf..80f14b5db56 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -132,7 +132,7 @@ result = job1.result()
 result2 = job2.result()
 ```
 
-If you are not using a context manager, you should manually close the session to avoid unwanted cost. With `qiskit-ibm-runtime` 0.13 or later releases, you can close a session as soon as you are done submitting jobs to it. When a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved. Prior to qiskit-ibm-runtime 0.13, when a session is closed with `session.close()`, any jobs that are already running continue to run, but any queued jobs remaining in the session are put into a failed state.
+If you are not using a context manager, manually close the session to avoid unwanted cost. You can close a session as soon as you are done submitting jobs to it. When a session is closed with `session.close()`, it no longer accepts new jobs, but the already submitted jobs will still run until completion and their results can be retrieved.
 
 ``` python
 session = Session(backend=backend)

From 56dac8ed1130cdc5de8b970be9327f10813b3211 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Fri, 26 Apr 2024 17:34:27 -0500
Subject: [PATCH 45/62] typo

---
 docs/run/run-jobs-in-session.mdx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 80f14b5db56..9c3c1394567 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -119,7 +119,7 @@ There is also an interactive timeout value (ITTL, or interactive time to live) t
 <span id="close"></span>
 ## Close a session
 
-A session automatically closes when it exits the context manager. WWhen the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
+A session automatically closes when it exits the context manager. When the session context manager is exited, the session is put into "In progress, not accepting new jobs" status. This means that the session finishes processing all running or queued jobs until the maximum timeout value is reached. After all jobs are completed, the session is immediately closed. This allows the scheduler to run the next job without waiting for the session interactive timeout, thereby reducing the average job queuing time. You cannot submit jobs to a closed session.
 
 ``` python
 with Session(service=service, backend=backend) as session:
@@ -206,7 +206,7 @@ with Session(backend=backend):
 <span id="two-vqe"></span>
 ## Run two VQE algorithms in a session by using threading
 
-You can get more out of a session by running multiple workloads at once. The following example shows how you can run two VQE algorithms, each uses a different classical optimizer, simultaneously inside a single session. Job tags are also used to differentiate jobs from each workload.
+You can get more out of a session by running multiple workloads simultaneously. The following example shows how you can run two VQE algorithms, each using a different classical optimizer, simultaneously inside a single session. Job tags are also used to differentiate jobs from each workload.
 ```python
 from concurrent.futures import ThreadPoolExecutor
 from qiskit_ibm_runtime import  Session, EstimatorV2 as Estimator

From 5f3c979991b261e73d12ad6dff2336b8a028de41 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <beckyd@us.ibm.com>
Date: Mon, 29 Apr 2024 09:08:32 -0500
Subject: [PATCH 46/62] typo

---
 docs/api/migration-guides/sessions.mdx | 2 +-
 docs/run/execution-modes.mdx           | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 7d7b6e07884..a5c12e85cd0 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,7 +8,7 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution modes changes
 
-Utility-scale workloads can take many hours to complete, so it has become increasinly important that both the classical and quantum resources are scheduled efficiently to streamline the execution. With the improved execution modes, you have more flexibility than ever in balancing the cost and time tradeoff to use resources in a way that is optimal for your workloads.
+Utility-scale workloads can take many hours to complete, so it has become increasingly important that both the classical and quantum resources are scheduled efficiently to streamline the execution. With the improved execution modes, you have more flexibility than ever in balancing the cost and time tradeoff to use resources in a way that is optimal for your workloads.
 
 Workloads can be run in one of the execution modes: Job, Session, or Batch:
 
diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 2a41113be71..833e9e58b2d 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -9,7 +9,7 @@ There are several ways to run workloads, depending on your needs.
 
 **Job mode**: A single primitive request of the estimator or the sampler made without a context manager. Circuits and inputs are packaged as primitive unified blocs (PUBs) and submitted as an execution task on the quantum computer.
 
-[**Session mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads. See [Run jobs in a session](run-jobs-in-session) for examples.
+[**Session mode**](sessions): A dedicated window for running a multi-job workload. This allows users to experiment with variational algorithms in a more predictable way and even run multiple experiments simultaneously taking advantage of parallelism in the stack. Use sessions for iterative workloads or experiments that require dedicated access. See [Run jobs in a session](run-jobs-in-session) for examples.
 
 [**Batch mode**](run-jobs-batch): A multi-job manager for efficiently running an experiment that is comprised of bundle of independent jobs. Use batch mode to submit multiple primitive jobs simultaneously.
 
@@ -43,4 +43,8 @@ Usage is a measurement of the amount of time the system is locked for your workl
 * Batch usage is the amount of time all jobs spend on the system.
 * Single job usage is the quantum time they use in processing.
 
+To find the usage time for your session or batch, in `qiskit-ibm-runtime` 0.23 or later, run `session.details()["usage_time"]` or `batch.details()["usage_time"]`.
+
+If you are calling the REST API directly, the usage time is the `elapsed_time` value returned by the `GET /sessions/{id}` endpoint, for both session and batch workloads.
+
 ![This image shows multiple sets of jobs.  One set is being run in session mode and the other is being run in batch mode.  For session mode, between each job is the interactive TTL (time to live).  The active window starts when the first job starts and ends after the last job is completed. After the final job of the first set of jobs completes, the active window ends and the session is paused (but not closed).  Another set of jobs then starts and jobs continue in a similar manner. The system is reserved for your use during the entire session.  For batch mode, the classical computation part of each job happens simultaneously, then all jobs are sent to the system.  The system is locked for your use from the time the first job reaches the system until the last job is done processing on the system.  There is no gap between jobs where the system is idle.](/images/run/execution-modes/SessionVsBatch.svg 'Sessions compared to batch')

From 59fae47928b325b2d4c759448711023dd7dd206e Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:12:26 -0500
Subject: [PATCH 47/62] Update docs/api/migration-guides/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index a5c12e85cd0..3de3fb400e3 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -8,7 +8,7 @@ description: Learn about the changes to execution modes (sessions, batch, and si
 
 # Execution modes changes
 
-Utility-scale workloads can take many hours to complete, so it has become increasingly important that both the classical and quantum resources are scheduled efficiently to streamline the execution. With the improved execution modes, you have more flexibility than ever in balancing the cost and time tradeoff to use resources in a way that is optimal for your workloads.
+Utility-scale workloads can take many hours to complete, so it is important that both the classical and quantum resources are scheduled efficiently to streamline the execution. The improved execution modes provide more flexibility than ever in balancing the cost and time tradeoff to use resources optimally for your workloads.
 
 Workloads can be run in one of the execution modes: Job, Session, or Batch:
 

From 48a5686843b03286da045d09793cd45cee08fd6b Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:13:07 -0500
Subject: [PATCH 48/62] Update docs/run/execution-modes-faq.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes-faq.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index 546c1efd159..dd644c43719 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -61,7 +61,7 @@ Yes. This reduces unwanted cost if a user forgets to close their session.
     How does session usage impact IBM Quantum Network members who are not billed by usage?
   </summary>
 
-IBM Quantum Network members gain reserved capacity on IBM Quantum systems. Usage is deducted from this capacity and hubs with lower capacity have longer queueing time.
+IBM Quantum Network members gain reserved capacity on IBM Quantum&trade; systems. Usage is deducted from this capacity and hubs with lower capacity have longer queueing time.
 </details>
 
 <details>

From 39dadb7a96b41b4ce12e5b0997a971b8d420bd19 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:15:57 -0500
Subject: [PATCH 49/62] Update docs/run/execution-modes-faq.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes-faq.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index dd644c43719..057d45972f3 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -129,7 +129,7 @@ In general, if your each of your jobs consumes less than a minute of QPU time, c
     How many jobs I can submit in a batch?
   </summary>
 
-There are no limits regarding how many jobs you can submit in a Batch. There are, however, limits on how much usage your jobs can consume based on your plan.
+There are no limits to how many jobs you can submit in a Batch. There are, however, limits on how much usage your jobs can consume based on your plan.
 </details>
 
 <details>

From b3556ac70263df580092bcb4a19b49b164b7caa7 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:16:08 -0500
Subject: [PATCH 50/62] Update docs/run/execution-modes.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 833e9e58b2d..ea97a35674e 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -29,7 +29,7 @@ To ensure the most efficient use of the execution modes, the following practices
 - Always close your session, either by using a context manager or by specifying `session.close()`.
 - There is a fixed overhead associated with running a job. In general, if your each of your job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
 
-    A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
+    A job's QPU time is listed in the **Usage** column on the IBM Quantum Platform [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
 - If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
 

From 07b3e7670768f61018a4d24831e800196d067368 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:16:55 -0500
Subject: [PATCH 51/62] Update docs/run/execution-modes.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index ea97a35674e..071ac860f23 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -31,7 +31,7 @@ To ensure the most efficient use of the execution modes, the following practices
 
     A job's QPU time is listed in the **Usage** column on the IBM Quantum Platform [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
+- If each of your jobs consumes more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
 
 The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because of reduced wall clock time.
 

From b6a85d30f5e8c85589feb9b89f4eb02d1ca13495 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:17:08 -0500
Subject: [PATCH 52/62] Update docs/run/run-jobs-in-session.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/run-jobs-in-session.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 9c3c1394567..cc54e72ea14 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -9,7 +9,7 @@ description: How to run a quantum computing job in a Qiskit Runtime session.
 There are several ways to set up and use [sessions](sessions).  It is recommended that you do not run a session with a single job in it.
 
 <Admonition type="note">
-Session execution mode is not supported in the Open plan. Jobs will run in job mode instead.
+Session execution mode is not supported in the Open Plan. Jobs will run in job mode instead.
 </Admonition>
 
 <Admonition type="caution" title="Important">

From ae4674759add2c3a6e7026d159af1aa4b4180754 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:17:18 -0500
Subject: [PATCH 53/62] Update docs/run/run-jobs-in-session.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/run-jobs-in-session.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index cc54e72ea14..8617933f746 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -164,7 +164,7 @@ with Session(service=service, backend=backend) as session:
 <span id="mult-jobs-in-session"></span>
 ## Invoke multiple primitives in a session
 
-A session can handle multiple primitives, allowing for various operations within a single session.  The following example shows how you can create both an instance of the `Sampler` class and one of the `Estimator` class and invoke their `run()` methods within a session.
+A session can handle multiple primitives, allowing for various operations within a single session.  The following example shows how you can create both an instance of the `Sampler` class and one of the `Estimator` class, then invoke their `run()` methods within a session.
 
 <Tabs>
   <TabItem value="PrimV2" label="V2 primitives">

From fc47bc14e32c4783655244616449c6ad825bd1cd Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:17:39 -0500
Subject: [PATCH 54/62] Update docs/run/run-jobs-in-session.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/run-jobs-in-session.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/run-jobs-in-session.mdx b/docs/run/run-jobs-in-session.mdx
index 8617933f746..553a124cfbd 100644
--- a/docs/run/run-jobs-in-session.mdx
+++ b/docs/run/run-jobs-in-session.mdx
@@ -274,5 +274,5 @@ with Session(service=service, backend=backend) as session:
 
 <Admonition type="tip" title="Recommendations">
   - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial.
-  - Review the [Session API](https://docs.quantum.ibm.com/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
+  - Review the [Session API](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
 </Admonition>
\ No newline at end of file

From d6abc420dd99a8e504bbe4f219298f5cea733976 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:17:48 -0500
Subject: [PATCH 55/62] Update docs/run/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index 45c8e1ef9fb..cf41e021628 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -34,7 +34,7 @@ The basic workflow for sessions is as follows:
 3. The _interactive timeout_ runs between the jobs in a session. Every session has an interactive timeout value (ITTL, or interactive time to live). If there are no session jobs queued within the ITTL window, the session is temporarily deactivated and normal job selection resumes. A job can reactivate the deactivated session<sup>*</sup> if the session has not reached its maximum timeout value.
 3. If the maximum timeout value is reached, the session ends and any remaining queued jobs fail. However, any jobs already running will run to completion.
 
-The following video illustrates session basic workflow:
+The following video illustrates the session basic workflow:
 
 <video title="A user starts a session job and becomes the priority user.  They submit jobs to the quantum system while other users wait. After the prioritized user's session finishes, the next person's jobs can begin processing." className="max-w-auto h-auto" controls>
   <source src="/videos/run/sessions/demo.mp4" type="video/mp4"></source>

From 6649a0bf23ee4aa23571bf760890b309ff926e80 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:18:06 -0500
Subject: [PATCH 56/62] Update docs/run/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/sessions.mdx b/docs/run/sessions.mdx
index cf41e021628..bb6cc3b3f76 100644
--- a/docs/run/sessions.mdx
+++ b/docs/run/sessions.mdx
@@ -94,7 +94,7 @@ session.close()
 
 <Admonition type="tip" title="Recommendations">
   - Try an example in the [Quantum approximate optimization algorithm (QAOA)](https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm) tutorial.
-  - Review the [Session API](https://docs.quantum.ibm.com/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
+  - Review the [Session API](/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Session) reference.
   - Review the execution modes [best practices.](execution-modes#best-practices)
   - Learn how to [run a job in a session.](run-jobs-in-session)
 </Admonition>
\ No newline at end of file

From f891aa9cbbf216b2bd139432694771c280010791 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:18:24 -0500
Subject: [PATCH 57/62] Update docs/run/execution-modes.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 071ac860f23..189c96638be 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -33,7 +33,7 @@ To ensure the most efficient use of the execution modes, the following practices
 
 - If each of your jobs consumes more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, up to five classical jobs can be processed in parallel. You can take advantage of this by submitting multiple jobs in [batch](run-jobs-batch#partition) or [session](run-jobs-in-session#two-vqe) execution mode.
 
-The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because of reduced wall clock time.
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because it can reduce wall clock time.
 
 ## Sessions versus batch usage
 

From f272f73b85aab87ad669a27dbb8337cb7bc15674 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:18:54 -0500
Subject: [PATCH 58/62] Update docs/run/execution-modes.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/run/execution-modes.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/run/execution-modes.mdx b/docs/run/execution-modes.mdx
index 189c96638be..0563dcb6d16 100644
--- a/docs/run/execution-modes.mdx
+++ b/docs/run/execution-modes.mdx
@@ -18,7 +18,7 @@ The differences are summarized in the following table:
 |     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
 |:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
 | Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
-| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are run close together.                                                                             |
+| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queuing time for each. Jobs in a batch are run close together.                                                                             |
 | Session mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
 
 <span id="best-practices"></span>

From 6e83046d892822e20a621a6342873fbab1d95884 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:21:19 -0500
Subject: [PATCH 59/62] Update docs/api/migration-guides/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 3de3fb400e3..6972cb0fc5b 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -18,7 +18,7 @@ Workloads can be run as single jobs, sessions, or in a batch:
 - Use **batch** mode to submit multiple primitive jobs simultaneously to shorten processing time
 - Use **job** mode to submit a single primitive request for quick testing
 
-The differences are summarized in the following table:
+The following table summarizes the differences:
 
 |     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
 |:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|

From 6c6a80174dc2da84e91671bf49a3435b2b258f1b Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:22:20 -0500
Subject: [PATCH 60/62] Update docs/api/migration-guides/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 6972cb0fc5b..8298daf841b 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -23,7 +23,7 @@ The following table summarizes the differences:
 |     Mode     |         Example        |                  Usage                  |                                                                                                        Benefit                                                                                                        |
 |:------------:|:----------------------:|:---------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
 | Job mode     |                        | Quantum computation only.               | Easiest to use when running a small experiment. Might run sooner than batch mode.                                                                                                                                     |
-| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queueing time for each. Jobs in a batch are usually run close together.                                                                     |
+| Batch mode   |                        | Quantum computation only.               | The entire batch of jobs is scheduled together and there is no additional queuing time for each. Jobs in a batch are usually run close together.                                                                     |
 | Session mode | Hamiltonian simulation | Both classical and quantum computation. | Dedicated and exclusive access to the system during the session active window, and no other users’ or system jobs can run. This is particularly useful for workloads that don’t have all inputs ready at the outset.  |
 
 ## Best practices

From b16f24669b7a641db07a09457ae93b8a5d6fa40c Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:22:50 -0500
Subject: [PATCH 61/62] Update docs/api/migration-guides/sessions.mdx

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 8298daf841b..99a75a8db90 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -33,7 +33,7 @@ To ensure the most efficient use of the execution modes, the following practices
 - Always close your session, either by using a context manager or by specifying `session.close()`.
 - There is a fixed overhead associated with running a job. In general, if each job uses less than one minute of QPU time, consider combining several into one larger job (this applies to all execution modes). "QPU time" refers to time spent by the QPU complex to process your job.
 
-    A job's QPU time is listed in the **Usage** column on the IQP [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using  `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`
+    A job's QPU time is listed in the **Usage** column on the IBM Quantum Platform [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`.
 
 - If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, classical processing can be done in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
 

From 9b2253c556784aa6a4b970107d937b29575ae103 Mon Sep 17 00:00:00 2001
From: Rebecca Dimock <66339736+beckykd@users.noreply.github.com>
Date: Mon, 29 Apr 2024 10:24:48 -0500
Subject: [PATCH 62/62] Apply suggestions from code review

Co-authored-by: abbycross <across@us.ibm.com>
---
 docs/api/migration-guides/sessions.mdx | 10 +++++-----
 docs/run/execution-modes-faq.mdx       |  2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/api/migration-guides/sessions.mdx b/docs/api/migration-guides/sessions.mdx
index 99a75a8db90..0fcc2979e9e 100644
--- a/docs/api/migration-guides/sessions.mdx
+++ b/docs/api/migration-guides/sessions.mdx
@@ -35,17 +35,17 @@ To ensure the most efficient use of the execution modes, the following practices
 
     A job's QPU time is listed in the **Usage** column on the IBM Quantum Platform [Jobs](https://quantum.ibm.com/jobs) page, or you can  query it by using `qiskit-ibm-runtime` with this command `job.metrics()["usage"]["quantum_seconds"]`.
 
-- If each of your jobs consume more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, classical processing can be done in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
+- If each of your jobs consumes more than one minute of QPU time, or if combining jobs is not practical, you can still run multiple jobs in parallel. Every job goes through both classical and quantum processing. While a QPU can process only one job at a time, classical processing can be done in parallel. You can take advantage of this by submitting multiple jobs in [batch](#divide) or [session](#two-vqe) execution mode.
 
-The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because of reduced wall clock time.
+The above are general guidelines, and you should tune your workload to find the optimal ratio, especially when using sessions. For example, if you are using a session to get exclusive access to a backend, consider breaking up large jobs into smaller ones and running them in parallel. This might be more cost effective because it can reduce wall clock time.
 
 
 ## Sessions
 
-Sessions are designed for iterative workloads to avoid queueing delays between each iteration. All sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
+Sessions are designed for iterative workloads to avoid queuing delays between each iteration. All sessions now run in *dedicated* mode, so that when running a session, you have exclusive access to the backend.  Because of this, you are now charged for the total wall clock time that the system is reserved for your use. Additionally, sessions are now thread safe. That is, you can run multiple workloads within a session.
 
 <Admonition type="note">
-Session execution mode is not supported in the Open plan. Jobs will run in job mode instead.
+Session execution mode is not supported in the Open Plan. Jobs will run in job mode instead.
 </Admonition>
 
 <span id="two-vqe"></span>
@@ -69,7 +69,7 @@ with Session(backend=backend), ThreadPoolExecutor() as executor:
 
 ## Batch
 
-Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs, or jobs from another batch, can start when batch jobs are being processed, however, individual jobs might run between batch jobs.
+Submit multiple primitive jobs simultaneously. When batching, classical processing is done in parallel. No session jobs, or jobs from another batch, can start when batch jobs are being processed; however, individual jobs might run between batch jobs.
 
 <span id="divide"></span>
 ### Example: Partition a 500-circuit job into five 100-circuit jobs and run them in batch
diff --git a/docs/run/execution-modes-faq.mdx b/docs/run/execution-modes-faq.mdx
index 057d45972f3..8183e0cc235 100644
--- a/docs/run/execution-modes-faq.mdx
+++ b/docs/run/execution-modes-faq.mdx
@@ -108,7 +108,7 @@ The main difference is the time and cost trade off:
 Batch mode:
 
 - The total run time is less because the classical processing might run in parallel.
-- There is a slight overhead for running each job, so you end up paying a little more for batched jobs. This overhead correlates to the size of the job. For example, the total usage of two jobs, each containing 40 100x100 circuits is six seconds more than a single job containing 80 circuits.
+- There is a slight overhead for running each job, so you end up paying a little more for batched jobs. This overhead correlates to the size of the job. For example, the total usage of two jobs, each containing 40 100x100 circuits, is six seconds more than a single job containing 80 circuits.
 - Because batch mode doesn't give you exclusive access to a backend, jobs inside a batch might run with other users' jobs or system calibration jobs.
 - If some jobs fail, you still get results from the completed jobs.
 - You can take action in the middle of a batch workload based on the results of completed jobs. For example, you can cancel the rest of the jobs if the initial results look incorrect.