qiskit.algorithms.MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval¶
- static MaximumLikelihoodAmplitudeEstimation.compute_confidence_interval(result, alpha, kind='fisher', apply_post_processing=False)[código fonte]¶
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.
- Parâmetros
result (
MaximumLikelihoodAmplitudeEstimationResult
) – A maximum likelihood amplitude estimation result.alpha (
float
) – The confidence level.kind (
str
) – The method to compute the confidence interval. Defaults to “fisher”, which computes the theoretical Fisher information.apply_post_processing (
bool
) – If True, apply post-processing to the confidence interval.
- Tipo de retorno
Tuple
[float
,float
]- Retorno
The specified confidence interval.
- Levanta
AlgorithmError – If run() hasn’t been called yet.
NotImplementedError – If the method kind is not supported.