MaximumLikelihoodAmplitudeEstimationResult
class MaximumLikelihoodAmplitudeEstimationResult(a_dict=None)
Bases: qiskit.aqua.algorithms.amplitude_estimators.ae_algorithm.AmplitudeEstimationAlgorithmResult
MaximumLikelihoodAmplitudeEstimation Result.
Methods
clear
MaximumLikelihoodAmplitudeEstimationResult.clear()
Return type
None
combine
MaximumLikelihoodAmplitudeEstimationResult.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
copy
MaximumLikelihoodAmplitudeEstimationResult.copy()
from_dict
static MaximumLikelihoodAmplitudeEstimationResult.from_dict(a_dict)
create new object from a dictionary
Return type
MaximumLikelihoodAmplitudeEstimationResult
fromkeys
classmethod MaximumLikelihoodAmplitudeEstimationResult.fromkeys(iterable, value=None)
get
MaximumLikelihoodAmplitudeEstimationResult.get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
MaximumLikelihoodAmplitudeEstimationResult.items() → a set-like object providing a view on D’s items
keys
MaximumLikelihoodAmplitudeEstimationResult.keys() → a set-like object providing a view on D’s keys
pop
MaximumLikelihoodAmplitudeEstimationResult.pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
MaximumLikelihoodAmplitudeEstimationResult.popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
setdefault
MaximumLikelihoodAmplitudeEstimationResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
update
MaximumLikelihoodAmplitudeEstimationResult.update(*args, **kwargs)
If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
Return type
None
values
MaximumLikelihoodAmplitudeEstimationResult.values() → an object providing a view on D’s values
Attributes
a_estimation
return a_estimation
Return type
float
circuit_results
return circuit results
Return type
Union[List[ndarray], List[Dict[str, int]], None]
confidence_interval
return confidence_interval
Return type
List[float]
estimation
return estimation
Return type
float
fisher_information
return fisher_information
Return type
float
num_oracle_queries
return num_oracle_queries
Return type
int
theta
returns theta
Return type
float