MaximumLikelihoodAmplitudeEstimationResult¶
- class MaximumLikelihoodAmplitudeEstimationResult[소스]¶
기반 클래스:
AmplitudeEstimatorResultThe
MaximumLikelihoodAmplitudeEstimationresult object.Methods
Any property from the argument that exists in the receiver is updated.
Attributes
- circuit_results¶
Return the circuit results. Can be a statevector or counts dictionary.
- confidence_interval¶
Return the confidence interval for the amplitude (95% interval by default).
- confidence_interval_processed¶
Return the post-processed confidence interval (95% interval by default).
- estimation¶
Return the estimation for the amplitude in \([0, 1]\).
- 반환 형식
float
- estimation_processed¶
Return the estimation for the amplitude after the post-processing has been applied.
- 반환 형식
float
- evaluation_schedule¶
Return the evaluation schedule for the powers of the Grover operator.
- fisher_information¶
Return the Fisher information for the estimated amplitude.
- 반환 형식
float
- good_counts¶
Return the percentage of good counts per circuit power.
- minimizer¶
Return the minimizer used for the search of the likelihood function.
- 반환 형식
callable
- num_oracle_queries¶
Return the number of Grover oracle queries.
- 반환 형식
int
- post_processing¶
Return a handle to the post processing function.
- 반환 형식
Callable[[float],float]
- shots¶
Return the number of shots used. Is 1 for statevector-based simulations.
- 반환 형식
int
- theta¶
Return the estimate for the angle \(\theta\).
- 반환 형식
float