Control of amplitude homogeneity in coherent Ising machines with artificial Zeeman terms

Abstract A coherent Ising machine (CIM) is an open-dissipative solver using optical pulses generated from a degenerate parametric oscillator as analog magnetizations. When solving real-world optimization problems with CIM, this has two difficulties: mutual coupling induced amplitude inhomogeneity and absence of natural way to implement Zeeman terms. For the approximate Gaussian formulation CIMs control feedback, we add artificial Zeemam terms target information. Here show, for 16-spin CIM terms, increases performance, particularly when are competing against coefficients.