qiskit.aqua.algorithms.IterativeAmplitudeEstimationResult
class IterativeAmplitudeEstimationResult(a_dict=None)
IterativeAmplitudeEstimation Result.
__init__
__init__(a_dict=None)
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([a_dict]) | Initialize self. |
clear() | rtypeNone |
combine(result) | Any property from the argument that exists in the receiver is updated. |
copy() | |
from_dict(a_dict) | create new object from a dictionary |
fromkeys(iterable[, value]) | |
get(k[,d]) | |
items() | |
keys() | |
pop(key[, default]) | If key is not found, d is returned if given, otherwise KeyError is raised. |
popitem() | as a 2-tuple; but raise KeyError if D is empty. |
setdefault(k[,d]) | |
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 |
values() |
Attributes
a_estimation | return a_estimation |
a_intervals | return a_intervals |
actual_epsilon | return mle |
alpha | return alpha |
confidence_interval | return confidence_interval |
estimation | return estimation |
num_oracle_queries | return num_oracle_queries |
powers | return powers |
ratios | return ratios |
theta_intervals | return theta_intervals |
value_confidence_interval | return value_confidence_interval |
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
clear
clear()
Return type
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 confidence_interval
Return type
List[float]
estimation
return estimation
Return type
float
from_dict
static from_dict(a_dict)
create new object from a dictionary
Return type
IterativeAmplitudeEstimationResult
get
get(k[, d]) → D[k] if k in D, else d. d defaults to None.
items
items() → a set-like object providing a view on D’s items
keys
keys() → a set-like object providing a view on D’s keys
num_oracle_queries
return num_oracle_queries
Return type
int
pop
pop(key, default=None)
If key is not found, d is returned if given, otherwise KeyError is raised.
Return type
object
popitem
popitem()
as a 2-tuple; but raise KeyError if D is empty.
Return type
Tuple[object, object]
powers
return powers
Return type
List[int]
ratios
return ratios
Return type
List[float]
setdefault
setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D
theta_intervals
return theta_intervals
Return type
List[List[float]]
update
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
value_confidence_interval
return value_confidence_interval
Return type
List[float]
values
values() → an object providing a view on D’s values