TensoredExpvalMeasMitigator

class TensoredExpvalMeasMitigator(amats)

Bases: qiskit.ignis.mitigation.expval.base_meas_mitigator.BaseExpvalMeasMitigator

1-qubit tensor product measurement error mitigator.

This class can be used with the qiskit.ignis.mitigation.expectation_value() function to apply measurement error mitigation of local single-qubit measurement errors. Expectation values can also be computed directly using the expectation_value() method.

For measurement mitigation to be applied the mitigator should be calibrated using the qiskit.ignis.mitigation.expval_meas_mitigator_circuits() function and qiskit.ignis.mitigation.ExpvalMeasMitigatorFitter class with the 'tensored' mitigation method.

Initialize a TensorMeasurementMitigator

Parameters

amats (List[ndarray]) – list of single-qubit readout error assignment matrices.

Methods

assignment_fidelity	Return the measurement assignment fidelity on the specified qubits.
assignment_matrix	Return the measurement assignment matrix for specified qubits.
expectation_value	Compute the mitigated expectation value of a diagonal observable.
mitigation_matrix	Return the measurement mitigation matrix for the specified qubits.
mitigation_overhead	Return the mitigation overhead for expectation value estimation.
plot_assignment_matrix	Matrix plot of the readout error assignment matrix.
plot_mitigation_matrix	Matrix plot of the readout error mitigation matrix.
required_shots	Return the number of shots required for expectation value estimation.
stddev_upper_bound	Return an upper bound on standard deviation of expval estimator.