dwave.embedding.chain_strength.uniform_torque_compensation#

uniform_torque_compensation(bqm, embedding=None, prefactor=1.414)[source]#

Chain strength that attempts to compensate for torque that would break the chain.

The RMS of the problem’s quadratic biases is used for calculation.

Parameters:
  • bqm (BinaryQuadraticModel) – A binary quadratic model.

  • embedding (dict/EmbeddedStructure, default=None) – Included to satisfy the chain_strength callable specifications for embed_bqm.

  • prefactor (float, optional, default=1.414) – Prefactor used for scaling. For non-pathological problems, the recommended range of prefactors to try is [0.5, 2].

Returns:

The chain strength, or 1 if chain strength is not applicable.

Return type:

float