quri_parts.algo.mitigation.readout_mitigation.readout_mitigation module#

create_filter_matrix(qubit_count, sampler, shots)#

Generate a filter matrix for readout mitigation.

Parameters:

  • qubit_count (int) – Number of qubits of the target circuit.

  • sampler (ConcurrentSampler) – ConcurrentSampler for the target backend.

  • shots (int) – Number of shots at each sampling.

Return type:

npt.NDArray[np.float64]

readout_mitigation(counts, filter_matrix)#

Apply readout mitigation to the sampling result.

Parameters:

  • counts (Iterable[MeasurementCounts]) – Sampling result as a MeasurementCounts.

  • filter_matrix (npt.NDArray[np.float64]) – Filter matrix for the target circuit created by the create_filter_matrix function.

Return type:

Iterable[MeasurementCounts]

create_readout_mitigation_concurrent_sampler(qubit_count, sampler, shots)#

Wrap the given ConcurrentSampler to create a ConcurrentSampler where readout mitigation is automatically applied to the result.

Parameters:

  • qubit_count (int) – Number of qubits of the target circuit.

  • sampler (core.sampling.ConcurrentSampler) – ConcurrentSampler for the target backend.

  • shots (int) – Number of shots for each sampling to create the filter matrix.

Return type:

core.sampling.ConcurrentSampler

create_readout_mitigation_sampler(qubit_count, sampler, shots)#

Wrap the given ConcurrentSampler to create a Sampler where readout mitigation is automatically applied to the result.

Parameters:

  • qubit_count (int) – Number of qubits of the target circuit.

  • sampler (core.sampling.ConcurrentSampler) – ConcurrentSampler for the target backend.

  • shots (int) – Number of shots for each sampling to create the filter matrix.

Return type:

core.sampling.Sampler