Source code for qiskit_experiments.library.tomography.qst_analysis

# This code is part of Qiskit.
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# (C) Copyright IBM 2021.
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"""
Quantum state tomography analysis
"""
from qiskit_experiments.framework import Options
from .basis import PauliMeasurementBasis
from .tomography_analysis import TomographyAnalysis


[docs] class StateTomographyAnalysis(TomographyAnalysis): """State tomography experiment analysis. # section: overview Fitter Functions Built-in fitter functions may be selected using the following string labels, refer to the corresponding functions documentation for additional details on the fitters. * ``"linear_inversion"``: :func:`~qiskit_experiments.library.tomography.fitters.linear_inversion` (Default) * ``"cvxpy_linear_lstsq"``: :func:`~qiskit_experiments.library.tomography.fitters.cvxpy_linear_lstsq` * ``"cvxpy_gaussian_lstsq"``: :func:`~qiskit_experiments.library.tomography.fitters.cvxpy_gaussian_lstsq` PSD Rescaling For fitters that do not constrain the reconstructed state to be `positive-semidefinite` (PSD) we construct the maximum-likelihood nearest PSD state under the assumption of Gaussian measurement noise using the rescaling method in Reference [1]. For fitters that already support PSD constraints this option can be disabled by setting ``rescale_positive=False``. # section: warning The API for tomography fitters is still under development so may change in future releases. # section: note Fitters starting with ``"cvxpy_*"`` require the optional CVXPY Python package to be installed. # section: reference .. ref_arxiv:: 1 1106.5458 """ @classmethod def _default_options(cls) -> Options: """Default analysis options Analysis Options: measurement_basis (:class:`~qiskit_experiments.library.tomography.basis.MeasurementBasis`): The measurement :class:`~qiskit_experiments.library.tomography.basis.MeasurementBasis` to use for tomographic state reconstruction. fitter (str or Callable): The fitter function to use for reconstruction. This can be a string to select one of the built-in fitters, or a callable to supply a custom fitter function. See the `Fitter Functions` section for additional information. fitter_options (dict): Any addition kwarg options to be supplied to the fitter function. For documentation of available kwargs refer to the fitter function documentation. rescale_positive (bool): If True rescale the state returned by the fitter to be positive-semidefinite. See the `PSD Rescaling` section for additional information (Default: True). rescale_trace (bool): If True rescale the state returned by the fitter have either trace 1 for :class:`~qiskit.quantum_info.DensityMatrix`, or trace dim for :class:`~qiskit.quantum_info.Choi` matrices (Default: True). measurement_qubits (Sequence[int]): Optional, the physical qubits with tomographic measurements. If not specified will be set to ``[0, ..., N-1]`` for N-qubit tomographic measurements. target (str or :class:`~qiskit.quantum_info.DensityMatrix` or :class:`~qiskit.quantum_info.Statevector`): Optional, set a custom target quantum state for computing the :func:`~qiskit.quantum_info.state_fidelity` of the fitted state against (Default: None). conditional_circuit_clbits (list[int]): Optional, the clbit indices in the source circuit to be conditioned on when reconstructing the state. Enabling this will return a list of reconstructed state components conditional on the values of these clbit values. The integer value of the conditioning clbits is stored in state analysis result extra field `"conditional_circuit_outcome"`. conditional_measurement_indices (list[int]): Optional, indices of tomography measurement qubits to used for conditional state reconstruction. Enabling this will return a list of reconstructed state components conditioned on the remaining tomographic bases conditional on the basis index, and outcome value for these measurements. The conditional measurement basis index and integer value of the measurement outcome is stored in state analysis result extra fields `"conditional_measurement_index"` and `"conditional_measurement_outcome"` respectively. """ options = super()._default_options() options.measurement_basis = PauliMeasurementBasis() return options