MinimumEigenOptimizationResult
class MinimumEigenOptimizationResult(x, fval, variables, status, samples=None, min_eigen_solver_result=None, raw_samples=None)
Bases: qiskit.optimization.algorithms.optimization_algorithm.OptimizationResult
Minimum Eigen Optimizer Result.
Parameters
- x (
Union[List[float],ndarray]) – the optimal value found byMinimumEigensolver. - 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
get_correlations
MinimumEigenOptimizationResult.get_correlations()
Get <Zi x Zj> correlation matrix from samples.
Return type
ndarray
Attributes
fval
Returns the optimal function value.
Return type
float
Returns
The function value corresponding to the optimal value found in the optimization.
min_eigen_solver_result
Returns a result object obtained from the instance of MinimumEigensolver.
Return type
MinimumEigensolverResult
raw_results
Return the original results object from the optimization algorithm.
Currently a dump for any leftovers.
Return type
Any
Returns
Additional result information of the optimization algorithm.
raw_samples
Returns the list of raw solution samples of MinimumEigensolver.
Return type
Optional[List[SolutionSample]]
Returns
The list of raw solution samples of MinimumEigensolver.
samples
Returns the list of solution samples
Return type
List[SolutionSample]
Returns
The list of solution samples.
status
Returns the termination status of the optimization algorithm.
Return type
OptimizationResultStatus
Returns
The termination status of the algorithm.
variable_names
Returns the list of variable names of the optimization problem.
Return type
List[str]
Returns
The list of variable names of the optimization problem.
variables
Returns the list of variables of the optimization problem.
Return type
List[Variable]
Returns
The list of variables.
variables_dict
Returns the optimal value as a dictionary of the variable name and corresponding value.
Return type
Dict[str, float]
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.
Return type
Optional[ndarray]
Returns
The optimal value found in the optimization.