Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
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. Here, we propose an optical genetic-simulated annealing hybrid algorithm to accelerate the ground-state search of SPIMs. GA conducts a global coarse-grained search in the early iteration stage, while SA performs fine-grained loc...
| Authors | Ze Zheng, Ruhui Ni, Jingyi Zhao et al. |
|---|---|
| Primary category | physics.optics |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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