GraphOptimizationApplication

class GraphOptimizationApplication(graph)

Bases: OptimizationApplication

An abstract class for graph optimization applications.

প্যারামিটার:

graph (Graph | ndarray | List) -- A graph representing a problem. It can be specified directly as a NetworkX graph, or as an array or list format suitable to build out a NetworkX graph.

Attributes

graph

Getter of the graph

রিটার্নস:

A graph for a problem

Methods

draw(result=None, pos=None)

Draw a graph with the result. When the result is None, draw an original graph without colors.

প্যারামিটার:

• result (OptimizationResult | ndarray | None) -- The calculated result for the problem

• pos (Dict[int, ndarray] | None) -- The positions of nodes

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.

প্যারামিটার:

result (OptimizationResult | ndarray) -- The calculated result of the problem

static sample_most_likely(state_vector)

Compute the most likely binary string from state vector.

প্যারামিটার:

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

রিটার্নস:

binary string as numpy.ndarray of ints.

রেইজেস:

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

রিটার্ন টাইপ:

ndarray

abstract to_quadratic_program()

Convert a problem instance into a QuadraticProgram

রিটার্ন টাইপ:

QuadraticProgram