ResilienceOptionsV2

class ResilienceOptionsV2(*args, **kwargs)

Resilience options for V2 Estimator.

Parameters

• measure_mitigation – Whether to enable measurement error mitigation method. If you enable measurement mitigation, you can fine tune its noise learning by using measure_noise_learning. See MeasureNoiseLearningOptions for all measurement mitigation noise learning options. Default: True.
• measure_noise_learning – Additional measurement noise learning options. See MeasureNoiseLearningOptions for all options.
• zne_mitigation – Whether to turn on Zero Noise Extrapolation error mitigation method. If you enable ZNE, you can fine tune its options by using zne. See ZneOptions for additional ZNE related options. Default: False.
• zne – Additional zero noise extrapolation mitigation options. See ZneOptions for all options.
• pec_mitigation – Whether to turn on Probabilistic Error Cancellation error mitigation method. If you enable PEC, you can fine tune its options by using pec. See PecOptions for additional PEC related options. Default: False.
• pec – Additional probabalistic error cancellation mitigation options. See PecOptions for all options.
• layer_noise_learning – Layer noise learning options. See LayerNoiseLearningOptions for all options.
• layer_noise_model – A NoiseLearnerResult or a sequence of LayerError objects. If set, all the mitigation strategies that require noise data (e.g., PEC and PEA) skip the noise learning stage, and instead gather the required information from layer_noise_model. Layers whose information is missing in layer_noise_model are treated as noiseless and their noise is not mitigated.

Attributes

layer_noise_learning

layer_noise_model

measure_mitigation

measure_noise_learning

pec

pec_mitigation

zne

zne_mitigation

Methods