qiskit.optimization.algorithms.GroverOptimizationResult

class GroverOptimizationResult(x, fval, variables, operation_counts, n_input_qubits, n_output_qubits, intermediate_fval, threshold, status)

A result object for Grover Optimization methods.

Constructs a result object with the specific Grover properties.

매개변수

• x (Union[List[float], ndarray]) – The solution of the problem

• fval (float) – The value of the objective function of the solution

• variables (List[Variable]) – A list of variables defined in the problem

• operation_counts (Dict[int, Dict[str, int]]) – The counts of each operation performed per iteration.

• n_input_qubits (int) – The number of qubits used to represent the input.

• n_output_qubits (int) – The number of qubits used to represent the output.

• intermediate_fval (float) – The intermediate value of the objective function of the solution, that is expected to be identical with fval.

• threshold (float) – The threshold of Grover algorithm.

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

__init__(x, fval, variables, operation_counts, n_input_qubits, n_output_qubits, intermediate_fval, threshold, status)

Constructs a result object with the specific Grover properties.

매개변수

• x (Union[List[float], ndarray]) – The solution of the problem

• fval (float) – The value of the objective function of the solution

• variables (List[Variable]) – A list of variables defined in the problem

• operation_counts (Dict[int, Dict[str, int]]) – The counts of each operation performed per iteration.

• n_input_qubits (int) – The number of qubits used to represent the input.

• n_output_qubits (int) – The number of qubits used to represent the output.

• intermediate_fval (float) – The intermediate value of the objective function of the solution, that is expected to be identical with fval.

• threshold (float) – The threshold of Grover algorithm.

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

Methods

__init__(x, fval, variables, …)

Constructs a result object with the specific Grover properties.

Attributes

fval	Returns the optimal function value.
intermediate_fval	Getter of the intermediate fval
n_input_qubits	Getter of n_input_qubits
n_output_qubits	Getter of n_output_qubits
operation_counts	Get the operation counts.
raw_results	Return the original results object from the optimization algorithm.
status	Returns the termination status of the optimization algorithm.
threshold	Getter of the threshold of Grover 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.

property intermediate_fval

Getter of the intermediate fval

반환 형식

float

반환값

The intermediate value of fval before interpret.

property n_input_qubits

Getter of n_input_qubits

반환 형식

int

반환값

The number of qubits used to represent the input.

property n_output_qubits

Getter of n_output_qubits

반환 형식

int

반환값

The number of qubits used to represent the output.

property operation_counts

Get the operation counts.

반환 형식

Dict[int, Dict[str, int]]

반환값

The counts of each operation performed per iteration.

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 status

Returns the termination status of the optimization algorithm.

반환 형식

OptimizationResultStatus

반환값

The termination status of the algorithm.

property threshold

Getter of the threshold of Grover algorithm.

반환 형식

float

반환값

The threshold of Grover 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.