qiskit.algorithms.MaximumLikelihoodAmplitudeEstimationResult¶

class MaximumLikelihoodAmplitudeEstimationResult[source]¶

The MaximumLikelihoodAmplitudeEstimation result object.

__init__()[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`()	Initialize self.
`combine`(result)	Any property from the argument that exists in the receiver is updated.

Attributes

`circuit_results`	Return the circuit results.
`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 \([0, 1]\).
`estimation_processed`	Return the estimation for the amplitude after the post-processing has been applied.
`evaluation_schedule`	Return the evaluation schedule for the powers of the Grover operator.
`fisher_information`	Return the Fisher information for the estimated amplitude.
`good_counts`	Return the percentage of good counts per circuit power.
`minimizer`	Return the minimizer used for the search of the likelihood function.
`num_oracle_queries`	Return the number of Grover oracle queries.
`post_processing`	Return a handle to the post processing function.
`shots`	Return the number of shots used.
`theta`	Return the estimate for the angle \(\theta\).

property circuit_results¶

Return the circuit results. Can be a statevector or counts dictionary.

Return type: Union[ndarray, Dict[str, int], None]

combine(result)¶

Any property from the argument that exists in the receiver is updated. :type result: AlgorithmResult :param result: Argument result with properties to be set.

Raises: TypeError – Argument is None
Return type: None

property confidence_interval¶

Return the confidence interval for the amplitude (95% interval by default).

Return type: Tuple[float, float]

property confidence_interval_processed¶

Return the post-processed confidence interval (95% interval by default).

Return type: Tuple[float, float]

property estimation¶

Return the estimation for the amplitude in \([0, 1]\).

Return type: float

property estimation_processed¶

Return the estimation for the amplitude after the post-processing has been applied.

Return type: float

property evaluation_schedule¶

Return the evaluation schedule for the powers of the Grover operator.

Return type: List[int]

property fisher_information¶

Return the Fisher information for the estimated amplitude.

Return type: float

property good_counts¶

Return the percentage of good counts per circuit power.

Return type: List[float]

property minimizer¶

Return the minimizer used for the search of the likelihood function.

Return type: callable

property num_oracle_queries¶

Return the number of Grover oracle queries.

Return type: int

property post_processing¶

Return a handle to the post processing function.

Return type: Callable[[float], float]

property shots¶

Return the number of shots used. Is 1 for statevector-based simulations.

Return type: int

property theta¶

Return the estimate for the angle \(\theta\).

Return type: float