qiskit.algorithms.IterativeAmplitudeEstimationResult
class IterativeAmplitudeEstimationResult
The IterativeAmplitudeEstimation result object.
__init__
__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 . |
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 . |
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 for each iteration . |
shots | Return the number of shots used. |
theta_intervals | Return the confidence intervals for the angles in each iteration. |
alpha
Return the confidence level .
Return type
float
circuit_results
Return the circuit results. Can be a statevector or counts dictionary.
Return type
Union[ndarray, Dict[str, int], None]
combine
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
confidence_interval
Return the confidence interval for the amplitude (95% interval by default).
Return type
Tuple[float, float]
confidence_interval_processed
Return the post-processed confidence interval.
Return type
Tuple[float, float]
epsilon_estimated
Return the estimated half-width of the confidence interval.
Return type
float
epsilon_estimated_processed
Return the post-processed estimated half-width of the confidence interval.
Return type
float
epsilon_target
Return the target half-width of the confidence interval.
Return type
float
estimate_intervals
Return the confidence intervals for the estimate in each iteration.
Return type
List[List[float]]
estimation
Return the estimation for the amplitude in .
Return type
float
estimation_processed
Return the estimation for the amplitude after the post-processing has been applied.
Return type
float
num_oracle_queries
Return the number of Grover oracle queries.
Return type
int
post_processing
Return a handle to the post processing function.
Return type
Callable[[float], float]
powers
Return the powers of the Grover operator in each iteration.
Return type
List[int]
ratios
Return the ratios for each iteration .
Return type
List[float]
shots
Return the number of shots used. Is 1 for statevector-based simulations.
Return type
int
theta_intervals
Return the confidence intervals for the angles in each iteration.
Return type
List[List[float]]