dwave.system.composites.FixedEmbeddingComposite.sample_ising

FixedEmbeddingComposite.sample_ising(h: Union[Mapping[Hashable, Union[float, numpy.floating, numpy.integer]], Sequence[Union[float, numpy.floating, numpy.integer]]], J: Mapping[Tuple[Hashable, Hashable], Union[float, numpy.floating, numpy.integer]], **parameters) → dimod.sampleset.SampleSet

Sample from an Ising model using the implemented sample method.

This method is inherited from the Sampler base class.

Converts the Ising model into a BinaryQuadraticModel and then calls sample().

Parameters:

• h – Linear biases of the Ising problem. If a list, indices are the variable labels.
• J – Quadratic biases of the Ising problem.
• **kwargs – See the implemented sampling for additional keyword definitions.

Returns: Samples from the Ising model.

See also

sample(), sample_qubo()