qiskit.optimization.algorithms.MinimumEigenOptimizationResult

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

Minimum Eigen Optimizer Result.

パラメータ

• 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.

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

• samples (Optional[List[SolutionSample]]) – the x value, the objective function value of the original problem, the probability, and the status of sampling.

• raw_samples (Optional[List[SolutionSample]]) – the x values of the QUBO, the objective function value of the QUBO, and the probability of sampling.

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

パラメータ

• 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.

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

• samples (Optional[List[SolutionSample]]) – the x value, the objective function value of the original problem, the probability, and the status of sampling.

• raw_samples (Optional[List[SolutionSample]]) – the x values of the QUBO, the objective function value of the QUBO, and the probability of sampling.

Methods

__init__(x, fval, variables, status[, …])	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.
raw_samples	Returns the list of raw solution samples of MinimumEigensolver.
samples	Returns the list of solution 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.

戻り値の型

float

戻り値

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

get_correlations()

Get <Zi x Zj> correlation matrix from samples.

戻り値の型

ndarray

property min_eigen_solver_result

Returns a result object obtained from the instance of MinimumEigensolver.

戻り値の型

MinimumEigensolverResult

property raw_results

Return the original results object from the optimization algorithm.

Currently a dump for any leftovers.

戻り値の型

Any

戻り値

Additional result information of the optimization algorithm.

property raw_samples

Returns the list of raw solution samples of MinimumEigensolver.

戻り値の型

Optional[List[SolutionSample]]

戻り値

The list of raw solution samples of MinimumEigensolver.

property samples

Returns the list of solution samples

戻り値の型

List[SolutionSample]

戻り値

The list of solution samples.

property status

Returns the termination status of the optimization algorithm.

戻り値の型

OptimizationResultStatus

戻り値

The termination status of the algorithm.

property variable_names

Returns the list of variable names of the optimization problem.

戻り値の型

List[str]

戻り値

The list of variable names of the optimization problem.

property variables

Returns the list of variables of the optimization problem.

戻り値の型

List[Variable]

戻り値

The list of variables.

property variables_dict

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

戻り値の型

Dict[str, float]

戻り値

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.

戻り値の型

Optional[ndarray]

戻り値

The optimal value found in the optimization.