OptimizationApplication

class OptimizationApplication

Bases: ABC

An abstract class for optimization applications.

Methods

abstract interpret(result)

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

Parameters:

result (OptimizationResult | 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_quadratic_program()

Convert a problem instance into a QuadraticProgram

Return type:

QuadraticProgram