OptimizationApplication¶

class OptimizationApplication[source]¶

Bases: ABC

An abstract class for optimization applications.

Methods

abstract interpret(result)[source]¶

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 | np.ndarray) – The calculated result of the problem

static sample_most_likely(state_vector)[source]¶

Compute the most likely binary string from state vector.

Parameters:: state_vector (QuasiDistribution | Statevector | np.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:: np.ndarray

abstract to_quadratic_program()[source]¶

Convert a problem instance into a QuadraticProgram

Return type:: QuadraticProgram