Skip to main contentIBM Quantum Documentation
This page is from an old version of Qiskit SDK and does not exist in the latest version. We recommend you migrate to the latest version. See the release notes for more information.

Mitigation

qiskit.ignis.mitigation


Measurement

The measurement calibration is used to mitigate measurement errors. The main idea is to prepare all 2n2^n basis input states and compute the probability of measuring counts in the other basis states. From these calibrations, it is possible to correct the average results of another experiment of interest.

complete_meas_cal([qubit_list, qr, cr, …])Return a list of measurement calibration circuits for the full Hilbert space.
tensored_meas_cal([mit_pattern, qr, cr, …])Return a list of calibration circuits
MeasurementFilter(cal_matrix, state_labels)Measurement error mitigation filter.
TensoredFilter(cal_matrices, …)Tensored measurement error mitigation filter.
CompleteMeasFitter(results, state_labels[, …])Measurement correction fitter for a full calibration
TensoredMeasFitter(results, mit_pattern[, …])Measurement correction fitter for a tensored calibration.

Expectation Value Measurement

The following classes allow mitigation of measurement errors when computing expectation values of diagonal operators from counts.

expectation_value(counts[, diagonal, …])Compute the expectation value of a diagonal operator from counts.
expval_meas_mitigator_circuits(num_qubits[, …])Generate measurement error mitigator circuits and metadata.
ExpvalMeasMitigatorFitter(result, metadata)Expectation value measurement error mitigator calibration fitter.
CTMPExpvalMeasMitigator(generators, rates[, …])N-qubit CTMP measurement error mitigator.
CompleteExpvalMeasMitigator(amat)N-qubit measurement error mitigator.
TensoredExpvalMeasMitigator(amats)1-qubit tensor product measurement error mitigator.
Was this page helpful?
Report a bug or request content on GitHub.