qiskit_addon_opt_mapper.applications.OptimizationApplication

class OptimizationApplication

Bases: ABC

An abstract class for optimization applications.

__init__()

Methods

__init__()
interpret(result)	Interpret the problem.
sample_most_likely(state_vector)	Compute the most likely binary string from state vector.
to_optimization_problem()	Represent as an optimization problem.

abstract interpret(result)

Interpret the problem.

Convert the calculation result of the problem (SolverResult or a binary array using np.ndarray) to the answer of the problem in an easy-to-understand format.

Parameters:

result (ndarray) – The calculated result of the problem

static sample_most_likely(state_vector)

Compute the most likely binary string from state vector.

Parameters:

state_vector (QuasiDistribution | Statevector | ndarray | dict) – state vector or counts or quasi-probabilities.

Returns:

binary string as numpy.ndarray of ints.

Raises:

ValueError – if state_vector is not QuasiDistribution, Statevector, np.ndarray, or dict.

Return type:

ndarray

abstract to_optimization_problem()

Represent as an optimization problem.

Convert a problem instance into a OptimizationProblem

Return type:

OptimizationProblem