def process_tomography_set(meas_qubits, meas_basis='Pauli', prep_qubits=None, prep_basis='SIC'):
    '\n    Generate a dictionary of process tomography experiment configurations.\n\n    This returns a data structure that is used by other tomography functions\n    to generate state and process tomography circuits, and extract tomography\n    data from results after execution on a backend.\n\n   A quantum process tomography set is created by specifying a preparation\n    basis along with a measurement basis. The preparation basis may be a\n    user defined `tomography_basis`, or one of the two built in basis \'SIC\'\n    or \'Pauli\'.\n    - SIC: Is a minimal symmetric informationally complete preparation\n           basis for 4 states for each qubit (4 ^ number of qubits total\n           preparation states). These correspond to the |0> state and the 3\n           other vertices of a tetrahedron on the Bloch-sphere.\n    - Pauli: Is a tomographically overcomplete preparation basis of the six\n             eigenstates of the 3 Pauli operators (6 ^ number of qubits\n             total preparation states).\n\n    Args:\n        meas_qubits (list): The qubits being measured.\n        meas_basis (tomography_basis or str): The qubit measurement basis.\n            The default value is \'Pauli\'.\n        prep_qubits (list or None): The qubits being prepared. If None then\n            meas_qubits will be used for process tomography experiments.\n        prep_basis (tomography_basis or str): The qubit preparation basis.\n            The default value is \'SIC\'.\n\n    Returns:\n        dict: A dict of tomography configurations that can be parsed by\n        `create_tomography_circuits` and `tomography_data` functions\n        for implementing quantum tomography experiments. This output contains\n        fields "qubits", "meas_basis", "prep_basus", circuits".\n        ```\n        {\n            \'qubits\': qubits (list[ints]),\n            \'meas_basis\': meas_basis (tomography_basis),\n            \'prep_basis\': prep_basis (tomography_basis),\n            \'circuit_labels\': (list[string]),\n            \'circuits\': (list[dict])  # prep and meas configurations\n        }\n        ```\n    '
    return tomography_set(meas_qubits, meas_basis=meas_basis, prep_qubits=prep_qubits, prep_basis=prep_basis)
Generate a dictionary of process tomography experiment configurations.

 This returns a data structure that is used by other tomography functions
 to generate state and process tomography circuits, and extract tomography
 data from results after execution on a backend.

A quantum process tomography set is created by specifying a preparation
 basis along with a measurement basis. The preparation basis may be a
 user defined `tomography_basis`, or one of the two built in basis 'SIC'
 or 'Pauli'.
 - SIC: Is a minimal symmetric informationally complete preparation
        basis for 4 states for each qubit (4 ^ number of qubits total
        preparation states). These correspond to the |0> state and the 3
        other vertices of a tetrahedron on the Bloch-sphere.
 - Pauli: Is a tomographically overcomplete preparation basis of the six
          eigenstates of the 3 Pauli operators (6 ^ number of qubits
          total preparation states).

 Args:
     meas_qubits (list): The qubits being measured.
     meas_basis (tomography_basis or str): The qubit measurement basis.
         The default value is 'Pauli'.
     prep_qubits (list or None): The qubits being prepared. If None then
         meas_qubits will be used for process tomography experiments.
     prep_basis (tomography_basis or str): The qubit preparation basis.
         The default value is 'SIC'.

 Returns:
     dict: A dict of tomography configurations that can be parsed by
     `create_tomography_circuits` and `tomography_data` functions
     for implementing quantum tomography experiments. This output contains
     fields "qubits", "meas_basis", "prep_basus", circuits".
     ```
     {
         'qubits': qubits (list[ints]),
         'meas_basis': meas_basis (tomography_basis),
         'prep_basis': prep_basis (tomography_basis),
         'circuit_labels': (list[string]),
         'circuits': (list[dict])  # prep and meas configurations
     }
     ```
def process_tomography_set(meas_qubits, meas_basis='Pauli', prep_qubits=None, prep_basis='SIC'):
    '\n    Generate a dictionary of process tomography experiment configurations.\n\n    This returns a data structure that is used by other tomography functions\n    to generate state and process tomography circuits, and extract tomography\n    data from results after execution on a backend.\n\n   A quantum process tomography set is created by specifying a preparation\n    basis along with a measurement basis. The preparation basis may be a\n    user defined `tomography_basis`, or one of the two built in basis \'SIC\'\n    or \'Pauli\'.\n    - SIC: Is a minimal symmetric informationally complete preparation\n           basis for 4 states for each qubit (4 ^ number of qubits total\n           preparation states). These correspond to the |0> state and the 3\n           other vertices of a tetrahedron on the Bloch-sphere.\n    - Pauli: Is a tomographically overcomplete preparation basis of the six\n             eigenstates of the 3 Pauli operators (6 ^ number of qubits\n             total preparation states).\n\n    Args:\n        meas_qubits (list): The qubits being measured.\n        meas_basis (tomography_basis or str): The qubit measurement basis.\n            The default value is \'Pauli\'.\n        prep_qubits (list or None): The qubits being prepared. If None then\n            meas_qubits will be used for process tomography experiments.\n        prep_basis (tomography_basis or str): The qubit preparation basis.\n            The default value is \'SIC\'.\n\n    Returns:\n        dict: A dict of tomography configurations that can be parsed by\n        `create_tomography_circuits` and `tomography_data` functions\n        for implementing quantum tomography experiments. This output contains\n        fields "qubits", "meas_basis", "prep_basus", circuits".\n        ```\n        {\n            \'qubits\': qubits (list[ints]),\n            \'meas_basis\': meas_basis (tomography_basis),\n            \'prep_basis\': prep_basis (tomography_basis),\n            \'circuit_labels\': (list[string]),\n            \'circuits\': (list[dict])  # prep and meas configurations\n        }\n        ```\n    '
    return tomography_set(meas_qubits, meas_basis=meas_basis, prep_qubits=prep_qubits, prep_basis=prep_basis)