remove cloud simulator doc pages

docs/api/migration-guides/local-simulators.mdx

@@ -5,7 +5,7 @@ description: Migrate from using the IBM Quantum cloud simulators to using Qiskit
 
 # Migrate from cloud simulators to local simulators
 
-In quantum computing, the choice between using simulators and quantum hardware is crucial for making progress in the field. While simulators are useful for testing and debugging, in this era of quantum utility, quantum development and industry advancement requires actual hardware. As part of the move to quantum utility, IBM Quantum™ will retire its cloud simulators on 15 May 2024. This guide explains in more detail why this is happening, and how to migrate from [cloud based simulators](/verify/cloud-based-simulators), such as `ibmq_qasm_simulator`, to local simulators.
+In quantum computing, the choice between using simulators and quantum hardware is crucial for making progress in the field. While simulators are useful for testing and debugging, in this era of quantum utility, quantum development and industry advancement requires actual hardware. As part of the move to quantum utility, IBM Quantum™ will retire its cloud simulators on 15 May 2024. This guide explains in more detail why this is happening, and how to migrate from cloud-based simulators, such as `ibmq_qasm_simulator`, to local simulators.
 
 ## Why are the cloud simulators being retired?
 

docs/api/migration-guides/qiskit-algorithms-module.mdx

@@ -6,23 +6,23 @@ description: How to update your code to use the new interface for `qiskit.algori
 # Algorithms migration guide
 
   In Qiskit 0.44 and later releases, the `qiskit.algorithms` module has been superseded by a new standalone library, `qiskit_algorithms`,
-  available on [GitHub](https://github.com/qiskit-community/qiskit-algorithms) and 
+  available on [GitHub](https://github.com/qiskit-community/qiskit-algorithms) and
   [PyPi](https://pypi.org/project/qiskit-algorithms). The `qiskit.algorithms` module  was migrated to a
   separate package in order to clarify the purpose of Qiskit and make a distinction between the tools and libraries built on top of it.
 
   If your code used `qiskit.algorithms`, follow these steps:
    1. Check your code for any uses of the `qiskit.algorithms` module. If you are, follow this guide to
       migrate to the primitives-based implementation.
-   2. After updating your code, run `pip install qiskit-algorithms` and update your imports from 
+   2. After updating your code, run `pip install qiskit-algorithms` and update your imports from
       `qiskit.algorithms` to `qiskit_algorithms`.
 
-  
+
 
 ## Background
 
 The [`qiskit.algorithms`](../qiskit/0.46/algorithms) module was originally built on top of the [`qiskit.opflow`](../qiskit/0.46/opflow) library and the
 [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance) utility. The development of the [`qiskit.primitives`](../qiskit/primitives)
-introduced a higher-level execution paradigm, with the `Estimator` for computing expectation values for observables, and `Sampler` for executing circuits and returning probability distributions. These tools allowed the [`qiskit.algorithms`](../qiskit/0.46/algorithms) module to be refactored, after which, 
+introduced a higher-level execution paradigm, with the `Estimator` for computing expectation values for observables, and `Sampler` for executing circuits and returning probability distributions. These tools allowed the [`qiskit.algorithms`](../qiskit/0.46/algorithms) module to be refactored, after which,
 [`qiskit.opflow`](../qiskit/0.46/opflow) and [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance) were deprecated.
 
 <Admonition type="caution">
@@ -65,7 +65,7 @@ There have been three types of refactoring:
  - [Phase Estimators](#phase-estimators)
 
 3. Algorithms that were deprecated and are now removed entirely from [`qiskit.algorithms`](../qiskit/0.46/algorithms). These are algorithms that do not serve
-   as building blocks for applications and are only valuable for education, as described in the following tutorials: 
+   as building blocks for applications and are only valuable for education, as described in the following tutorials:
 
  - [Linear Solvers (HHL)](https://github.com/Qiskit/textbook/blob/main/notebooks/ch-applications/hhl_tutorial.ipynb) ,
  - [Factorizers (Shor)](https://github.com/Qiskit/textbook/blob/main/notebooks/ch-algorithms/shor.ipynb)
@@ -157,7 +157,7 @@ estimator = Estimator()
 <span id="eigen"></span>
 ## Minimum Eigensolvers
 
-The minimum eigensolver algorithms were refactored in a new location. 
+The minimum eigensolver algorithms were refactored in a new location.
 Instead of a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), [`qiskit.algorithms.minimum_eigensolvers`](../qiskit/0.46/qiskit.algorithms.minimum_eigensolvers) are now initialized
 by using an instance of the [`qiskit.primitives.Sampler`](../qiskit/qiskit.primitives.Sampler) or [`qiskit.primitives.Estimator`](../qiskit/qiskit.primitives.Estimator) primitive, depending
 on the algorithm. The legacy classes can still be found in `qiskit.algorithms.minimum_eigen_solvers`.
@@ -332,7 +332,7 @@ For complete code examples, see the following updated tutorials:
 
 ### QAOA
 
-The new QAOA only supports diagonal operators.  This is because the legacy `qiskit.algorithms.minimum_eigen_solvers.QAOA` class extended 
+The new QAOA only supports diagonal operators.  This is because the legacy `qiskit.algorithms.minimum_eigen_solvers.QAOA` class extended
 `qiskit.algorithms.minimum_eigen_solvers.VQE`, but now, [`qiskit.algorithms.minimum_eigensolvers.QAOA`](../qiskit/0.46/qiskit.algorithms.minimum_eigensolvers.QAOA)
 extends [`qiskit.algorithms.minimum_eigensolvers.SamplingVQE`](../qiskit/0.46/qiskit.algorithms.minimum_eigensolvers.SamplingVQE).
 
@@ -471,7 +471,7 @@ For complete code examples, see the updated [VQE, callback, gradients, initial p
 <span id="eigensolvers"></span>
 ## Eigensolvers
 
-The eigensolver algorithms were refactored in a new location.  Instead of using 
+The eigensolver algorithms were refactored in a new location.  Instead of using
 [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), [`qiskit.algorithms.eigensolvers`](../qiskit/0.46/qiskit.algorithms.eigensolvers) are now initialized
 using an instance of the [`qiskit.primitives.Sampler`](../qiskit/qiskit.primitives.Sampler) or [`qiskit.primitives.Estimator`](../qiskit/qiskit.primitives.Estimator) primitive, or
 a primitive-based subroutine, depending on the algorithm. The legacy classes can still be found
@@ -559,9 +559,9 @@ ansatz = TwoLocal(3, rotation_blocks=["ry", "rz"], entanglement_blocks="cz", rep
 optimizer = SLSQP(maxiter=10)
 hamiltonian = SparsePauliOp.from_list([("XXZ", 1), ("XYI", 1)])
 
-# example executing in cloud simulator
+# example executing on a physical system
 service = QiskitRuntimeService(channel="ibm_quantum")
-backend = service.backend("ibmq_qasm_simulator")
+backend = service.backend("ibm_sherbrooke")
 
 with Session(service=service, backend=backend) as session:
     estimator = Estimator()
@@ -633,7 +633,7 @@ Instead of using a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.
 using a [`qiskit.primitives.Estimator`](../qiskit/qiskit.primitives.Estimator) primitive instance. The legacy classes can still be found
 in `qiskit.algorithms.evolvers`.
 
-In addition to the migration, the module has been substantially expanded to include Variational Quantum Time Evolution 
+In addition to the migration, the module has been substantially expanded to include Variational Quantum Time Evolution
 (`qiskit.algorithms.time_evolvers.VarQTE`) solvers.
 
 ### TrotterQRTE
@@ -724,12 +724,12 @@ q:  ┤ exp(it X) ├┤ exp(it Z) ├
 <span id="amplitude"></span>
 ## Amplitude amplifiers
 
-The amplitude amplifier algorithms were refactored in-place. 
+The amplitude amplifier algorithms were refactored in-place.
 Instead of a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), `qiskit.algorithms.amplitude_amplifiers` are now initialized
 using an instance of any `Sampler` primitive.  That is, [`qiskit.primitives.Sampler`](../qiskit/qiskit.primitives.Sampler).
 
 <Admonition type="note">
-  The full `qiskit.algorithms.amplitude_amplifiers` module has been refactored in place. Therefore, you don't need to 
+  The full `qiskit.algorithms.amplitude_amplifiers` module has been refactored in place. Therefore, you don't need to
   change import paths.
 </Admonition>
 
@@ -763,12 +763,12 @@ For complete code examples, see the following updated tutorials:
 <span id="amp-estimate"></span>
 ## Amplitude estimators
 
-Similarly to the amplitude amplifiers, the amplitude estimators were refactored in-place. 
+Similarly to the amplitude amplifiers, the amplitude estimators were refactored in-place.
 Instead of a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), `qiskit.algorithms.amplitude_estimators` are now initialized
 using an instance of any `Sampler` primitive.  That is, [`qiskit.primitives.Sampler`](../qiskit/qiskit.primitives.Sampler).
 
 <Admonition type="note">
-  The full `qiskit.algorithms.amplitude_estimators` module has been refactored in place. You do not need to 
+  The full `qiskit.algorithms.amplitude_estimators` module has been refactored in place. You do not need to
   change import paths.
 </Admonition>
 
@@ -807,7 +807,7 @@ For a complete code example, see the updated [Amplitude Estimation tutorial.](ht
 ## Phase estimators
 
 The phase estimators were refactored in-place.
-Instead of a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), `qiskit.algorithms.phase_estimators` are now initialized by 
+Instead of a [`qiskit.utils.QuantumInstance`](../qiskit/0.46/qiskit.utils.QuantumInstance), `qiskit.algorithms.phase_estimators` are now initialized by
 using an instance of any `Sampler` primitive.  That is, [`qiskit.primitives.Sampler`](../qiskit/qiskit.primitives.Sampler).
 
 <Admonition type="note">

docs/api/migration-guides/qiskit-runtime-examples.mdx

@@ -506,6 +506,5 @@ to the following:
 - [Primitive execution options API reference](../qiskit-ibm-runtime/qiskit_ibm_runtime.options.Options)
 - [How to run a session](../../run/run-jobs-in-session)
 - [Qiskit Runtime local testing mode](../../verify/local-testing-mode)
-- [Noisy simulators in Qiskit Runtime](../../verify/using-ibm-quantum-simulators)
 </Admonition>
 

docs/verify/_toc.json

@@ -29,19 +29,6 @@
     {
       "title": "Efficient simulation of stabilizer circuits with Qiskit Aer primitives",
       "url": "/verify/stabilizer-circuit-simulation"
-    },
-    {
-      "title": "IBM Quantum cloud-based simulators",
-      "children": [
-        {
-          "title": "Using IBM Quantum cloud-based simulators",
-          "url": "/verify/using-ibm-quantum-simulators"
-        },
-        {
-          "title": "Available IBM Quantum simulators",
-          "url": "/verify/cloud-based-simulators"
-        }
-      ]
     }
   ]
 }