dwave.embedding.EmbeddedStructure.embed_bqm#

EmbeddedStructure.embed_bqm(source_bqm, chain_strength=None, smear_vartype=None)[source]#

Embed a binary quadratic model onto a target graph.

Parameters:

  • source_bqm (BinaryQuadraticModel) – Binary quadratic model (BQM) to embed.

  • chain_strength (float/mapping/callable, optional) – Sets the coupling strength between qubits representing variables that form a chain. Mappings should specify the required chain strength for each variable. Callables should accept the BQM and embedding and return a float or mapping. By default, chain_strength is calculated with uniform_torque_compensation().

  • smear_vartype (Vartype, optional, default=None) – Determines whether the linear bias of embedded variables is smeared (the specified value is evenly divided as biases of a chain in the target graph) in SPIN or BINARY space. Defaults to the Vartype of source_bqm.

Returns:

Target binary quadratic model.

Return type:

BinaryQuadraticModel

Examples

See examples in the embed_bqm() function.

See also

embed_ising(), embed_qubo()