classmethod AdjVectorBQM.from_ising(h, J, offset=0)[source]

Create a binary quadratic model from an Ising problem.

  • h (dict/list) – Linear biases of the Ising problem. If a dict, should be of the form {v: bias, …} where v is a spin-valued variable and bias is its associated bias. If a list, it is treated as a list of biases where the indices are the variable labels.

  • J (dict[(variable, variable), bias]) – Quadratic biases of the Ising problem.

  • offset (optional, default=0.0) – Constant offset applied to the model.


A spin-valued binary quadratic model.