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qiskit.algorithms.MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval

static MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval(result, alpha, kind='fisher', apply_post_processing=False)[source]

Compute the alpha confidence interval using the method kind.

The confidence level is (1 - alpha) and supported kinds are ‘fisher’, ‘likelihood_ratio’ and ‘observed_fisher’ with shorthand notations ‘fi’, ‘lr’ and ‘oi’, respectively.

Parameters
  • result – A maximum likelihood amplitude estimation result.

  • alpha – The confidence level.

  • kind – The method to compute the confidence interval. Defaults to ‘fisher’, which computes the theoretical Fisher information.

  • apply_post_processing – If True, apply post-processing to the confidence interval.

Returns

The specified confidence interval.

Raises
  • AlgorithmError – If run() hasn’t been called yet.

  • NotImplementedError – If the method kind is not supported.