Update API dev docs

docs/api/qiskit-c/dev/qk-neighbors.mdx

@@ -70,7 +70,7 @@ python_api_name: QkNeighbors
 
   <span id="group__QkNeighbors_1autotoc_md372" />
 
-  `neighbors` must point to a valid, initialized `QkNeighbors` object.
+  `neighbors` must an aligned pointer to a valid, initialized `QkNeighbors` object.
 
   **Parameters**
 

docs/api/qiskit-ibm-runtime/dev/executor.mdx

@@ -41,7 +41,7 @@ python_api_name: qiskit_ibm_runtime.Executor
 
       Refer to the [Qiskit Runtime documentation](/docs/guides/execution-modes) for more information about the `Execution modes`.
 
-  *   **options** ([*ExecutorOptions*](options-models-executor-options "qiskit_ibm_runtime.options_models.executor_options.ExecutorOptions")) – Executor options, see `ExecutorOptions` for detailed description. This can be an `ExecutorOptions` instance or a dictionary that will be used to construct one.
+  *   **options** ([*ExecutorOptions*](options-models-executor-options "qiskit_ibm_runtime.options_models.executor.ExecutorOptions")) – Executor options, see `ExecutorOptions` for detailed description. This can be an `ExecutorOptions` instance or a dictionary that will be used to construct one.
 
   **Raises**
 

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-base-params-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.BaseParamsModel
 
 # BaseParamsModel
 
-<Class id="ibm_quantum_schemas.common.BaseParamsModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/base_params.py#L18-L22" signature="BaseParamsModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.BaseParamsModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/base_params.py#L18-L22" signature="BaseParamsModel" modifiers="pydantic model">
   Bases: `BaseModel`
 
   Model of a runtime program’s inner parameters.

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-compressed-qpy-data-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.CompressedQpyDataModel
 
 # CompressedQpyDataModel
 
-<Class id="ibm_quantum_schemas.common.CompressedQpyDataModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qpy.py#L152-L239" signature="CompressedQpyDataModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.CompressedQpyDataModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qpy.py#L152-L239" signature="CompressedQpyDataModel" modifiers="pydantic model">
   Bases: [`QpyDataModel`](ibm-quantum-schemas-common-qpy-data-model "ibm_quantum_schemas.common.qpy.QpyDataModel"), `Generic`\[`T`]
 
   QPY-encoded Qiskit objects with compression.
@@ -55,13 +55,13 @@ python_api_name: ibm_quantum_schemas.common.CompressedQpyDataModel
 
   ### cross\_validate\_qpy\_info
 
-  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.cross_validate_qpy_info" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qpy.py#L155-L169" signature="cross_validate_qpy_info" modifiers="validator">
+  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.cross_validate_qpy_info" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qpy.py#L155-L169" signature="cross_validate_qpy_info" modifiers="validator">
     Check that the encoded qpy information matches expectations.
   </Function>
 
   ### from\_python
 
-  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.from_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qpy.py#L201-L239" signature="from_python(data, qpy_version=17, metadata_serializer=None)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.from_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qpy.py#L201-L239" signature="from_python(data, qpy_version=17, metadata_serializer=None)" modifiers="classmethod">
     Create a model instance from Python data of the correct type.
 
     The returned instance owns a reference to the provided data. This instance may be returned by [`to_python()`](#ibm_quantum_schemas.common.CompressedQpyDataModel.to_python "ibm_quantum_schemas.common.CompressedQpyDataModel.to_python") depending on the value of `use_cached`. Users of this class are responsible for managing cached instances of the data and possible side-effects of their mutations.
@@ -83,7 +83,7 @@ python_api_name: ibm_quantum_schemas.common.CompressedQpyDataModel
 
   ### to\_python
 
-  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.to_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qpy.py#L171-L199" signature="to_python(use_cached=False, metadata_deserializer=None)">
+  <Function id="ibm_quantum_schemas.common.CompressedQpyDataModel.to_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qpy.py#L171-L199" signature="to_python(use_cached=False, metadata_deserializer=None)">
     Return a Python representation of the encoded data in the model.
 
     When `use_cached` is false, or when no cached version exists, [`b64_data`](#ibm_quantum_schemas.common.CompressedQpyDataModel.b64_data "ibm_quantum_schemas.common.CompressedQpyDataModel.b64_data") is decoded and loaded into a new Python instance. Users of this class are responsible for managing cached instances of the Python data and possible side-effects of their mutations.

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-compressed-tensor-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.CompressedTensorModel
 
 # CompressedTensorModel
 
-<Class id="ibm_quantum_schemas.common.CompressedTensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L134-L203" signature="CompressedTensorModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.CompressedTensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L134-L203" signature="CompressedTensorModel" modifiers="pydantic model">
   Bases: [`TensorModel`](ibm-quantum-schemas-common-tensor-model "ibm_quantum_schemas.common.tensor.TensorModel")
 
   Model of compressed tensor data.
@@ -49,13 +49,13 @@ python_api_name: ibm_quantum_schemas.common.CompressedTensorModel
 
   ### check\_sizes
 
-  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L191-L203" signature="check_sizes" modifiers="validator">
+  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L191-L203" signature="check_sizes" modifiers="validator">
     Cross-validate that all sizes are consistent.
   </Function>
 
   ### from\_numpy
 
-  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L158-L173" signature="from_numpy(array)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L158-L173" signature="from_numpy(array)" modifiers="classmethod">
     Instantiate from a NumPy array.
 
     **Parameters**
@@ -65,7 +65,7 @@ python_api_name: ibm_quantum_schemas.common.CompressedTensorModel
 
   ### to\_numpy
 
-  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L175-L189" signature="to_numpy()">
+  <Function id="ibm_quantum_schemas.common.CompressedTensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L175-L189" signature="to_numpy()">
     Convert to a NumPy Array.
 
     **Return type**

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-f-64-compressed-tensor-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.F64CompressedTensorModel
 
 # F64CompressedTensorModel
 
-<Class id="ibm_quantum_schemas.common.F64CompressedTensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L206-L209" signature="F64CompressedTensorModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.F64CompressedTensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L206-L209" signature="F64CompressedTensorModel" modifiers="pydantic model">
   Bases: [`CompressedTensorModel`](ibm-quantum-schemas-common-compressed-tensor-model "ibm_quantum_schemas.common.tensor.CompressedTensorModel")
 
   Model of compressed tensor data specialized to f64.
@@ -49,13 +49,13 @@ python_api_name: ibm_quantum_schemas.common.F64CompressedTensorModel
 
   ### check\_sizes
 
-  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L191-L203" signature="check_sizes" modifiers="validator">
+  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L191-L203" signature="check_sizes" modifiers="validator">
     Cross-validate that all sizes are consistent.
   </Function>
 
   ### from\_numpy
 
-  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L158-L173" signature="from_numpy(array)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L158-L173" signature="from_numpy(array)" modifiers="classmethod">
     Instantiate from a NumPy array.
 
     **Parameters**
@@ -65,7 +65,7 @@ python_api_name: ibm_quantum_schemas.common.F64CompressedTensorModel
 
   ### to\_numpy
 
-  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L175-L189" signature="to_numpy()">
+  <Function id="ibm_quantum_schemas.common.F64CompressedTensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L175-L189" signature="to_numpy()">
     Convert to a NumPy Array.
 
     **Return type**

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-f-64-tensor-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.F64TensorModel
 
 # F64TensorModel
 
-<Class id="ibm_quantum_schemas.common.F64TensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L128-L131" signature="F64TensorModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.F64TensorModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L128-L131" signature="F64TensorModel" modifiers="pydantic model">
   Bases: [`TensorModel`](ibm-quantum-schemas-common-tensor-model "ibm_quantum_schemas.common.tensor.TensorModel")
 
   Model of tensor data specialized to f64.
@@ -49,13 +49,13 @@ python_api_name: ibm_quantum_schemas.common.F64TensorModel
 
   ### check\_sizes
 
-  <Function id="ibm_quantum_schemas.common.F64TensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L111-L125" signature="check_sizes" modifiers="validator">
+  <Function id="ibm_quantum_schemas.common.F64TensorModel.check_sizes" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L111-L125" signature="check_sizes" modifiers="validator">
     Cross-validate that all sizes are consistent.
   </Function>
 
   ### from\_numpy
 
-  <Function id="ibm_quantum_schemas.common.F64TensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L68-L90" signature="from_numpy(array)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.F64TensorModel.from_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L68-L90" signature="from_numpy(array)" modifiers="classmethod">
     Instantiate from a NumPy array.
 
     **Parameters**
@@ -65,7 +65,7 @@ python_api_name: ibm_quantum_schemas.common.F64TensorModel
 
   ### to\_numpy
 
-  <Function id="ibm_quantum_schemas.common.F64TensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/tensor.py#L92-L109" signature="to_numpy()">
+  <Function id="ibm_quantum_schemas.common.F64TensorModel.to_numpy" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/tensor.py#L92-L109" signature="to_numpy()">
     Convert to a NumPy Array.
 
     **Return type**

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-open-qasm-3-data-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.OpenQasm3DataModel
 
 # OpenQasm3DataModel
 
-<Class id="ibm_quantum_schemas.common.OpenQasm3DataModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qasm.py#L30-L96" signature="OpenQasm3DataModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.OpenQasm3DataModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qasm.py#L30-L96" signature="OpenQasm3DataModel" modifiers="pydantic model">
   Bases: `BaseModel`, `Generic`\[`T`]
 
   OpenQASM3-encoded objects.
@@ -23,7 +23,7 @@ python_api_name: ibm_quantum_schemas.common.OpenQasm3DataModel
 
   ### from\_python
 
-  <Function id="ibm_quantum_schemas.common.OpenQasm3DataModel.from_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qasm.py#L75-L96" signature="from_python(data)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.OpenQasm3DataModel.from_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qasm.py#L75-L96" signature="from_python(data)" modifiers="classmethod">
     Create a model instance from Python data of the correct type.
 
     The returned instance owns a reference to the provided data. This instance may be returned by [`to_python()`](#ibm_quantum_schemas.common.OpenQasm3DataModel.to_python "ibm_quantum_schemas.common.OpenQasm3DataModel.to_python") depending on the value of `use_cached`. Users of this class are responsible for managing cached instances of the data and possible side-effects of their mutations.
@@ -43,7 +43,7 @@ python_api_name: ibm_quantum_schemas.common.OpenQasm3DataModel
 
   ### to\_python
 
-  <Function id="ibm_quantum_schemas.common.OpenQasm3DataModel.to_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/qasm.py#L46-L73" signature="to_python(use_cached=False)">
+  <Function id="ibm_quantum_schemas.common.OpenQasm3DataModel.to_python" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/qasm.py#L46-L73" signature="to_python(use_cached=False)">
     Return a Python representation of the encoded data in the model.
 
     When `use_cached` is false, or when no cached version exists, [`data`](#ibm_quantum_schemas.common.OpenQasm3DataModel.data "ibm_quantum_schemas.common.OpenQasm3DataModel.data") is decoded and loaded into a new Python instance. Users of this class are responsible for managing cached instances of the Python data and possible side-effects of their mutations.

docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-pauli-lindblad-map-model.mdx

@@ -10,7 +10,7 @@ python_api_name: ibm_quantum_schemas.common.PauliLindbladMapModel
 
 # PauliLindbladMapModel
 
-<Class id="ibm_quantum_schemas.common.PauliLindbladMapModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/pauli_lindblad_map.py#L19-L40" signature="PauliLindbladMapModel" modifiers="pydantic model">
+<Class id="ibm_quantum_schemas.common.PauliLindbladMapModel" isDedicatedPage={true} github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/pauli_lindblad_map.py#L19-L40" signature="PauliLindbladMapModel" modifiers="pydantic model">
   Bases: `BaseModel`
 
   Encoding of a sparse Pauli Lindblad map.
@@ -33,7 +33,7 @@ python_api_name: ibm_quantum_schemas.common.PauliLindbladMapModel
 
   ### from\_pauli\_lindblad\_map
 
-  <Function id="ibm_quantum_schemas.common.PauliLindbladMapModel.from_pauli_lindblad_map" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/pauli_lindblad_map.py#L28-L36" signature="from_pauli_lindblad_map(pauli_lindblad_map)" modifiers="classmethod">
+  <Function id="ibm_quantum_schemas.common.PauliLindbladMapModel.from_pauli_lindblad_map" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/pauli_lindblad_map.py#L28-L36" signature="from_pauli_lindblad_map(pauli_lindblad_map)" modifiers="classmethod">
     Encode a [`qiskit.quantum_info.PauliLindbladMap`](/docs/api/qiskit/qiskit.quantum_info.PauliLindbladMap) into this model.
 
     **Parameters**
@@ -47,7 +47,7 @@ python_api_name: ibm_quantum_schemas.common.PauliLindbladMapModel
 
   ### to\_pauli\_lindblad\_map
 
-  <Function id="ibm_quantum_schemas.common.PauliLindbladMapModel.to_pauli_lindblad_map" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc1/ibm_quantum_schemas/common/pauli_lindblad_map.py#L38-L40" signature="to_pauli_lindblad_map()">
+  <Function id="ibm_quantum_schemas.common.PauliLindbladMapModel.to_pauli_lindblad_map" github="https://github.com/Qiskit/ibm-quantum-schemas/tree/0.10rc2/ibm_quantum_schemas/common/pauli_lindblad_map.py#L38-L40" signature="to_pauli_lindblad_map()">
     Decode this model into a [`qiskit.quantum_info.PauliLindbladMap`](/docs/api/qiskit/qiskit.quantum_info.PauliLindbladMap).
 
     **Return type**