dwave.system.composites.LinearAncillaComposite.sample#

LinearAncillaComposite.sample(bqm: BinaryQuadraticModel, *, h_tolerance: Number = 0, default_flux_bias_range: tuple[float, float] = (-0.005, 0.005), **parameters)[source]#

Sample from the provided binary quadratic model.

Note

This composite does not support the auto_scale parameter; use the ScaleComposite for scaling.

Parameters:

  • bqm (BinaryQuadraticModel) – Binary quadratic model to be sampled from.

  • h_tolerance (numbers.Number) – Magnitude of the linear bias to be set directly on problem qubits; above this the bias is emulated by the flux-bias offset to an ancilla qubit. Assumed to be positive. Defaults to zero.

  • default_flux_bias_range (tuple) – Flux-bias range, as a two-tuple, supported by the QPU. The values must be large enough to ensure qubits remain polarized throughout the annealing process.

  • **parameters – Parameters for the sampling method, specified by the child sampler.

Returns:

SampleSet.