Issue 742 | Docs: remove outdated terms (#815)

client/quantum_serverless/core/decorators.py

@@ -124,12 +124,12 @@ def from_dict(cls, dictionary: dict):
 class CircuitMeta:
     """Circuit metainformation."""
 
-    n_qubits: int
+    num_qubits: int
     depth: int
 
     def to_seq(self) -> Sequence[int]:
         """Converts meta to seq."""
-        return [self.n_qubits, self.depth]
+        return [self.num_qubits, self.depth]
 
 
 Numeric = Union[float, int]
@@ -151,7 +151,7 @@ def fetch_execution_meta(*args, **kwargs) -> Dict[str, Sequence[Numeric]]:
 
     def fetch_meta(circuit: QuantumCircuit) -> CircuitMeta:
         """Returns meta information from circuit."""
-        return CircuitMeta(n_qubits=circuit.num_qubits, depth=circuit.depth())
+        return CircuitMeta(num_qubits=circuit.num_qubits, depth=circuit.depth())
 
     meta: Dict[str, Sequence[Numeric]] = {}
 

docs/development/examples/07_benchmark_program.ipynb

@@ -19,7 +19,7 @@
     "- `n_entries` - number of circuits and observables will be used in each iteration on generation task.\n",
     "- `depth_of_recursion` - defines how many recursive iterations generation task will have. (Number of generated circuits will be n_entries * depth_of_recursion).\n",
     "- `n_backends` - number of backends, which defines how many parallel transpilations and estimations will happen.\n",
-    "- `n_qubits` - number of qubits will be used in a program. Affects backends, circuits and observables.\n",
+    "- `num_qubits` - number of qubits will be used in a program. Affects backends, circuits and observables.\n",
     "- `circuit_depth` - depth of generated circuits.\n",
     "- `size_of_observable` - size of generated observables.\n",
     "- `n_graphs` - number of times graph above will be executed within one program.\n",
@@ -95,7 +95,7 @@
     ")\n",
     "\n",
     "job = serverless.run(program, arguments={\n",
-    "    \"n_qubits\": 2,\n",
+    "    \"num_qubits\": 2,\n",
     "    \"n_entries\": 2,\n",
     "    \"depth_of_recursion\": 4,\n",
     "    \"n_backends\": 3,\n",

docs/development/examples/source_files/benchmark.py

@@ -27,62 +27,62 @@
 
 @distribute_task()
 def generate_circuits(
-    depth_of_recursion: int, n_qubits: int, depth_of_circuit: int, n_circuits: int
+    depth_of_recursion: int, num_qubits: int, depth_of_circuit: int, n_circuits: int
 ):
     """Generates random circuits."""
-    circuits = [random_circuit(n_qubits, depth_of_circuit) for _ in range(n_circuits)]
+    circuits = [random_circuit(num_qubits, depth_of_circuit) for _ in range(n_circuits)]
     if depth_of_recursion <= 1:
         return circuits
     else:
         return circuits + get(
             generate_circuits(
-                depth_of_recursion - 1, n_qubits, depth_of_circuit, n_circuits
+                depth_of_recursion - 1, num_qubits, depth_of_circuit, n_circuits
             )
         )
 
 
 @distribute_task()
 def generate_observables(
-    depth_of_recursion: int, n_qubits: int, size: int, n_observables: int
+    depth_of_recursion: int, num_qubits: int, size: int, n_observables: int
 ):
     """Generated random observables."""
-    observables = [random_pauli_list(n_qubits, size) for _ in range(n_observables)]
+    observables = [random_pauli_list(num_qubits, size) for _ in range(n_observables)]
     if depth_of_recursion <= 1:
         return observables
     else:
         return observables + get(
-            generate_observables(depth_of_recursion - 1, n_qubits, size, n_observables)
+            generate_observables(depth_of_recursion - 1, num_qubits, size, n_observables)
         )
 
 
 @distribute_task()
 def generate_data(
     depth_of_recursion: int,
-    n_qubits: int,
+    num_qubits: int,
     n_entries: int,
     circuit_depth: int = 2,
     size_of_observable: int = 2,
 ):
     return get(
         generate_circuits(
             depth_of_recursion=depth_of_recursion,
-            n_qubits=n_qubits,
+            num_qubits=num_qubits,
             n_circuits=n_entries,
             depth_of_circuit=circuit_depth,
         )
     ), get(
         generate_observables(
             depth_of_recursion=depth_of_recursion,
-            n_qubits=n_qubits,
+            num_qubits=num_qubits,
             size=size_of_observable,
             n_observables=n_entries,
         )
     )
 
 
-def get_backends(n_backends: int, n_qubits: int):
+def get_backends(n_backends: int, num_qubits: int):
     """Returns list of backends for program."""
-    backend = ConfigurableFakeBackend("Tashkent", n_qubits=n_qubits, version=1)
+    backend = ConfigurableFakeBackend("Tashkent", n_qubits=num_qubits, version=1)
 
     return [backend for _ in range(n_backends)]
 
@@ -104,18 +104,18 @@ def estimate(circuits: list, observables: list):
 @distribute_task()
 def run_graph(
     depth_of_recursion: int,
-    n_qubits: int,
+    num_qubits: int,
     n_entries: int,
     circuit_depth: int,
     size_of_observable: int,
     n_backends: int,
 ):
-    backends = get_backends(n_backends, n_qubits)
+    backends = get_backends(n_backends, num_qubits)
 
     circuits, observables = get(
         generate_data(
             depth_of_recursion=depth_of_recursion,
-            n_qubits=n_qubits,
+            num_qubits=num_qubits,
             n_entries=n_entries,
             circuit_depth=circuit_depth,
             size_of_observable=size_of_observable,
@@ -140,7 +140,7 @@ def run_graph(
         type=int,
     )
     parser.add_argument(
-        "--n_qubits", help="Number of qubits used in program.", default=2, type=int
+        "--num_qubits", help="Number of qubits used in program.", default=2, type=int
     )
     parser.add_argument("--n_entries", help="Number of circuits.", default=10, type=int)
     parser.add_argument(
@@ -167,7 +167,7 @@ def run_graph(
             [
                 run_graph(
                     depth_of_recursion=args.depth_of_recursion,
-                    n_qubits=args.n_qubits,
+                    num_qubits=args.num_qubits,
                     n_entries=args.n_entries,
                     circuit_depth=args.circuit_depth,
                     size_of_observable=args.size_of_observable,