Scalable spin-glass optical simulator

@article{Pierangeli2020ScalableSO,
  title={Scalable spin-glass optical simulator},
  author={D. Pierangeli and M. Rafayelyan and C. Conti and S. Gigan},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.00828}
}
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates intense search for specific computing hardware that takes advantage from quantum features [1, 2], stochastic elements [3], nonlinear dissipative dynamics [4-8], in-memory operations [9, 10], or photonics [11-14]. A paradigmatic optimization problem is finding low-energy states in classical spin systems with fully-random interactions [15-18]. To date no alternative… Expand

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