Using the QPU

Guidance and best practices for QPU usage.

Formulation

Formulating problems for the quantum computer.

Decomposing Large Problems

Guidance on large-problem decomposition.

Minor-Embedding: Best Practices

Considerations for minor embedding.

QPU Solver Parameters

Parameters of the QPU solver.

QPU Configuration: Best Practices

Ways to improve solutions on QPU solvers.

Postprocessing

Overview of some postprocessing methods.

QPU Usage Examples

Errors sources and correction.

Example

The following code solves the known “minimum vertex cover” graph problem using an annealing quantum computer.

>>> import networkx as nx
>>> import dwave_networkx as dnx
>>> from dwave.system import DWaveSampler, EmbeddingComposite
...
>>> s5 = nx.star_graph(4)
>>> sampler = EmbeddingComposite(DWaveSampler())
>>> min_cover = dnx.min_vertex_cover(s5, sampler)