mindquantum.algorithm.qaia.NMFA

class mindquantum.algorithm.qaia.NMFA(J, h=None, x=None, n_iter=1000, batch_size=1, alpha=0.15, sigma=0.15)

Noisy Mean-field Annealing algorithm.

Reference: Emulating the coherent Ising machine with a mean-field algorithm.

Parameters

• J (Union[numpy.array, csr_matrix]) – The coupling matrix with shape \((N x N)\).

• h (numpy.array) – The external field with shape \((N, )\).

• x (numpy.array) – The initialized spin value with shape \((N x batch_size)\). Default: None.

• n_iter (int) – The number of iterations. Default: 1000.

• batch_size (int) – The number of sampling. Default: 1.

• alpha (float) – Momentum factor. Default: 0.15.

• sigma (float) – The standard deviation of noise. Default: 0.15.

initialize()

Initialize spin values.

update()

Dynamical evolution.