def state_tomography_set(qubits, meas_basis='Pauli'):
    '\n    Generate a dictionary of state 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    Quantum State Tomography:\n        Be default it will return a set for performing Quantum State\n        Tomography where individual qubits are measured in the Pauli basis.\n        A custom measurement basis may also be used by defining a user\n        `tomography_basis` and passing this in for the `meas_basis` argument.\n\n    Quantum Process Tomography:\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        qubits (list): The qubits being measured.\n        meas_basis (tomography_basis or str): The qubit measurement basis.\n            The default value is \'Pauli\'.\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", "circuits".\n        ```\n        {\n            \'qubits\': qubits (list[ints]),\n            \'meas_basis\': meas_basis (tomography_basis),\n            \'circuit_labels\': (list[string]),\n            \'circuits\': (list[dict])  # prep and meas configurations\n        }\n        ```\n    '
    return tomography_set(qubits, meas_basis=meas_basis)
Generate a dictionary of state 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.

Quantum State Tomography:
    Be default it will return a set for performing Quantum State
    Tomography where individual qubits are measured in the Pauli basis.
    A custom measurement basis may also be used by defining a user
    `tomography_basis` and passing this in for the `meas_basis` argument.

Quantum Process Tomography:
    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:
    qubits (list): The qubits being measured.
    meas_basis (tomography_basis or str): The qubit measurement basis.
        The default value is 'Pauli'.

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", "circuits".
    ```
    {
        'qubits': qubits (list[ints]),
        'meas_basis': meas_basis (tomography_basis),
        'circuit_labels': (list[string]),
        'circuits': (list[dict])  # prep and meas configurations
    }
    ```
def state_tomography_set(qubits, meas_basis='Pauli'):
    '\n    Generate a dictionary of state 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    Quantum State Tomography:\n        Be default it will return a set for performing Quantum State\n        Tomography where individual qubits are measured in the Pauli basis.\n        A custom measurement basis may also be used by defining a user\n        `tomography_basis` and passing this in for the `meas_basis` argument.\n\n    Quantum Process Tomography:\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        qubits (list): The qubits being measured.\n        meas_basis (tomography_basis or str): The qubit measurement basis.\n            The default value is \'Pauli\'.\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", "circuits".\n        ```\n        {\n            \'qubits\': qubits (list[ints]),\n            \'meas_basis\': meas_basis (tomography_basis),\n            \'circuit_labels\': (list[string]),\n            \'circuits\': (list[dict])  # prep and meas configurations\n        }\n        ```\n    '
    return tomography_set(qubits, meas_basis=meas_basis)