AI RESEARCH
Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
arXiv CS.LG
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ArXi:2605.23295v1 Announce Type: cross Spatial photonic Ising machines (SPIMs) based on spatial light modulators (SLMs) have emerged as highly effective solvers for many tasks, including combinatorial optimization problems and spin-glass simulations. However, traditional SPIMs relying solely on the simulated annealing algorithm require a large number of measurement-feedback iterations to find a relatively optimal solution in complex energy landscapes, suffering from slow convergence and high time cost.