EmbeddingComposite¶

class EmbeddingComposite(sampler)[source]¶

Composite to map unstructured problems to a structured sampler.

Parameters:	sampler (`dimod.TemplateSampler`) – A structured dimod sampler to be wrapped.

sample_ising(h, J, **kwargs)[source]¶

Sample from the provided unstructured Ising model.

Parameters:	h (list/dict) – Linear terms of the model. J (dict of (int, int) – float): Quadratic terms of the model. **kwargs – Parameters for the sampling method, specified per solver.
Returns:	`dimod.SpinResponse`

accepted_kwargs¶: dict[str – SamplerKeywordArg] – The keyword arguments accepted by the sample_ising and sample_qubo methods for this sampler.

my_kwargs()¶

The keyword arguments accepted by the sampler or the highest composite layer.

Returns:	`SamplerKeywordArg`]: The keyword arguments accepted by the sample_ising and sample_qubo methods for this sampler or the top-level composite layer. For all accepted keyword arguments see accepted_kwargs.
Return type:	dict[str

Note

This method is inherited from the TemplateSampler base class.

sample_qubo(Q, **kwargs)¶

Converts the given QUBO into an Ising problem, then invokes the sample_ising method.

See sample_ising documentation for more information.

Parameters:	Q (dict) – A dictionary defining the QUBO. Should be of the form {(u, v): bias} where u, v are variables and bias is numeric. **kwargs – Any keyword arguments are passed directly to sample_ising.
Returns:	A BinaryResponse, converted from the SpinResponse return from sample_ising.
Return type:	`BinaryResponse`

Note

This method is inherited from the TemplateSampler base class.