IterativeAmplitudeEstimationResult
class IterativeAmplitudeEstimationResult(a_dict=None)
Bases: qiskit.aqua.algorithms.amplitude_estimators.ae_algorithm.AmplitudeEstimationAlgorithmResult
IterativeAmplitudeEstimation Result.
Methods
clear
IterativeAmplitudeEstimationResult.clear()
Return type
None
combine
IterativeAmplitudeEstimationResult.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
IterativeAmplitudeEstimationResult.copy()
from_dict
static IterativeAmplitudeEstimationResult.from_dict(a_dict)
create new object from a dictionary
Return type
IterativeAmplitudeEstimationResult
fromkeys
classmethod IterativeAmplitudeEstimationResult.fromkeys(iterable, value=None)
get
IterativeAmplitudeEstimationResult.get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
IterativeAmplitudeEstimationResult.items() → a set-like object providing a view on D’s items
keys
IterativeAmplitudeEstimationResult.keys() → a set-like object providing a view on D’s keys
pop
IterativeAmplitudeEstimationResult.pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
IterativeAmplitudeEstimationResult.popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
setdefault
IterativeAmplitudeEstimationResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
update
IterativeAmplitudeEstimationResult.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
IterativeAmplitudeEstimationResult.values() → an object providing a view on D’s values
Attributes
a_estimation
return a_estimation
Return type
float
a_intervals
return a_intervals
Return type
List[List[float]]
actual_epsilon
return mle
Return type
float
alpha
return alpha
Return type
float
confidence_interval
return confidence_interval
Return type
List[float]
estimation
return estimation
Return type
float
num_oracle_queries
return num_oracle_queries
Return type
int
powers
return powers
Return type
List[int]
ratios
return ratios
Return type
List[float]
theta_intervals
return theta_intervals
Return type
List[List[float]]
value_confidence_interval
return value_confidence_interval
Return type
List[float]