mindquantum.algorithm.qaia.SimCIM

class mindquantum.algorithm.qaia.SimCIM(J, h=None, x=None, n_iter=1000, batch_size=1, dt=0.01, momentum=0.9, sigma=0.03, pt=6.5)

Simulated Coherent Ising Machine.

Reference: Annealing by simulating the coherent Ising machine.

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.

• dt (float) – The step size. Default: 1.

• momentum (float) – momentum factor. Default: 0.9.

• sigma (float) – The standard deviation of noise. Default: 0.03.

• pt (float) – Pump parameter. Default: 6.5.

initialize()

Initialize spin.

update()

Dynamical evolution.