TensoredFilter

class TensoredFilter(cal_matrices, substate_labels_list, mit_pattern)

Bases: object

Tensored measurement error mitigation filter.

Produced from a tensored measurement calibration fitter and can be applied to data.

Initialize a tensored measurement error mitigation filter using the cal_matrices from a tensored measurement calibration fitter. A simple usage this class is explained [here] (https://qiskit.org/documentation/tutorials/noise/3_measurement_error_mitigation.html).

Parameters

• cal_matrices (matrix) – the calibration matrices for applying the correction.

• substate_labels_list (list) – for each calibration matrix a list of the states (as strings, states in the subspace)

• mit_pattern (list) – for each calibration matrix a list of the logical qubit indices (as int, states in the subspace)

Methods

apply	Apply the calibration matrices to results.
compute_index_of_cal_mat	Return the index of (pseudo inverse) calibration matrix for the input quantum state
flip_state	Flip the state according to the chosen qubit positions

Attributes

cal_matrices

Return cal_matrices.

nqubits

Return the number of qubits. See also MeasurementFilter.apply()

qubit_list_sizes

Return _qubit_list_sizes.

substate_labels_list

Return _substate_labels_list