qiskit.algorithms.IterativeAmplitudeEstimationResult

class IterativeAmplitudeEstimationResult

The IterativeAmplitudeEstimation result object.

__init__()

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

alpha	Return the confidence level \(\alpha\).
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.
epsilon_estimated	Return the estimated half-width of the confidence interval.
epsilon_estimated_processed	Return the post-processed estimated half-width of the confidence interval.
epsilon_target	Return the target half-width of the confidence interval.
estimate_intervals	Return the confidence intervals for the estimate in each iteration.
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.
num_oracle_queries	Return the number of Grover oracle queries.
post_processing	Return a handle to the post processing function.
powers	Return the powers of the Grover operator in each iteration.
ratios	Return the ratios \(K_{i+1}/K_{i}\) for each iteration \(i\).
shots	Return the number of shots used.
theta_intervals	Return the confidence intervals for the angles in each iteration.

property alpha

Return the confidence level \(\alpha\).

戻り値の型

float

property circuit_results

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

戻り値の型

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.

例外

TypeError – Argument is None

戻り値の型

None

property confidence_interval

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

戻り値の型

Tuple[float, float]

property confidence_interval_processed

Return the post-processed confidence interval.

戻り値の型

Tuple[float, float]

property epsilon_estimated

Return the estimated half-width of the confidence interval.

戻り値の型

float

property epsilon_estimated_processed

Return the post-processed estimated half-width of the confidence interval.

戻り値の型

float

property epsilon_target

Return the target half-width of the confidence interval.

戻り値の型

float

property estimate_intervals

Return the confidence intervals for the estimate in each iteration.

戻り値の型

List[List[float]]

property estimation

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

戻り値の型

float

property estimation_processed

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

戻り値の型

float

property num_oracle_queries

Return the number of Grover oracle queries.

戻り値の型

int

property post_processing

Return a handle to the post processing function.

戻り値の型

Callable[[float], float]

property powers

Return the powers of the Grover operator in each iteration.

戻り値の型

List[int]

property ratios

Return the ratios \(K_{i+1}/K_{i}\) for each iteration \(i\).

戻り値の型

List[float]

property shots

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

戻り値の型

int

property theta_intervals

Return the confidence intervals for the angles in each iteration.

戻り値の型

List[List[float]]