qiskit.optimization.algorithms.MinimumEigenOptimizationResult

class MinimumEigenOptimizationResult(x, fval, variables, status, samples, min_eigen_solver_result=None)

Minimum Eigen Optimizer Result.

매개변수

• x (Union[List[float], ndarray]) – the optimal value found by MinimumEigensolver.

• fval (float) – the optimal function value.

• variables (List[Variable]) – the list of variables of the optimization problem.

• status (OptimizationResultStatus) – the termination status of the optimization algorithm.

• samples (List[Tuple[str, float, float]]) – the basis state as bitstring, the QUBO value, and the probability of sampling.

• min_eigen_solver_result (Optional[MinimumEigensolverResult]) – the result obtained from the underlying algorithm.

__init__(x, fval, variables, status, samples, min_eigen_solver_result=None)

매개변수

• x (Union[List[float], ndarray]) – the optimal value found by MinimumEigensolver.

• fval (float) – the optimal function value.

• variables (List[Variable]) – the list of variables of the optimization problem.

• status (OptimizationResultStatus) – the termination status of the optimization algorithm.

• samples (List[Tuple[str, float, float]]) – the basis state as bitstring, the QUBO value, and the probability of sampling.

• min_eigen_solver_result (Optional[MinimumEigensolverResult]) – the result obtained from the underlying algorithm.

Methods

__init__(x, fval, variables, status, samples)	type x Union[List[float], ndarray]
get_correlations()	Get <Zi x Zj> correlation matrix from samples.

Attributes

fval	Returns the optimal function value.
min_eigen_solver_result	Returns a result object obtained from the instance of MinimumEigensolver.
raw_results	Return the original results object from the optimization algorithm.
samples	Returns samples.
status	Returns the termination status of the optimization algorithm.
variable_names	Returns the list of variable names of the optimization problem.
variables	Returns the list of variables of the optimization problem.
variables_dict	Returns the optimal value as a dictionary of the variable name and corresponding value.
x	Returns the optimal value found in the optimization or None in case of FAILURE.

property fval

Returns the optimal function value.

반환 형식

float

반환값

The function value corresponding to the optimal value found in the optimization.

get_correlations()

Get <Zi x Zj> correlation matrix from samples.

반환 형식

ndarray

property min_eigen_solver_result

Returns a result object obtained from the instance of MinimumEigensolver.

반환 형식

MinimumEigensolverResult

property raw_results

Return the original results object from the optimization algorithm.

Currently a dump for any leftovers.

반환 형식

Any

반환값

Additional result information of the optimization algorithm.

property samples

Returns samples.

반환 형식

List[Tuple[str, float, float]]

property status

Returns the termination status of the optimization algorithm.

반환 형식

OptimizationResultStatus

반환값

The termination status of the algorithm.

property variable_names

Returns the list of variable names of the optimization problem.

반환 형식

List[str]

반환값

The list of variable names of the optimization problem.

property variables

Returns the list of variables of the optimization problem.

반환 형식

List[Variable]

반환값

The list of variables.

property variables_dict

Returns the optimal value as a dictionary of the variable name and corresponding value.

반환 형식

Dict[str, float]

반환값

The optimal value as a dictionary of the variable name and corresponding value.

property x

Returns the optimal value found in the optimization or None in case of FAILURE.

반환 형식

Optional[ndarray]

반환값

The optimal value found in the optimization.