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MinimumEigensolverResult

class MinimumEigensolverResult(a_dict=None)

GitHub

Minimum Eigensolver Result.


Attributes

aux_operator_eigenvalues

Type: Union[None, numpy.ndarray]

return aux operator eigen values

Return type

Optional[ndarray]

eigenstate

Type: Union[None, numpy.ndarray]

return eigen state

Return type

Optional[ndarray]

eigenvalue

Type: Union[None, float]

returns eigen value

Return type

Optional[float]


Methods

__getitem__

MinimumEigensolverResult.__getitem__(key)

Return type

object

__len__

MinimumEigensolverResult.__len__()

clear

MinimumEigensolverResult.clear()

Return type

None

combine

MinimumEigensolverResult.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

MinimumEigensolverResult.copy()

from_dict

static MinimumEigensolverResult.from_dict(a_dict)

create new object from a dictionary

Return type

MinimumEigensolverResult

fromkeys

classmethod MinimumEigensolverResult.fromkeys(iterable, value=None)

get

MinimumEigensolverResult.get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

items

MinimumEigensolverResult.items() → a set-like object providing a view on D’s items

keys

MinimumEigensolverResult.keys() → a set-like object providing a view on D’s keys

pop

MinimumEigensolverResult.pop(key, default=None)

If key is not found, d is returned if given, otherwise KeyError is raised.

Return type

object

popitem

MinimumEigensolverResult.popitem()

as a 2-tuple; but raise KeyError if D is empty.

Return type

Tuple[object, object]

setdefault

MinimumEigensolverResult.setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

update

MinimumEigensolverResult.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

MinimumEigensolverResult.values() → an object providing a view on D’s values

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