期刊
PHYSICAL REVIEW APPLIED
卷 15, 期 3, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevApplied.15.034087
关键词
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资金
- SAPIExcellence BE-FOR-ERC 2020 Grant
- QuantERA European Research Area Network (ERA-NET) Cofund [Quantum Information Processing with Complex Media (QuompleX) project] [731473]
- Progetti di Ricerca di Interesse Nazionale (PRIN) 2017 program (Photonic Extreme Learning MachinePELM project)
- H2020 PhoQus project [820392]
- H2020 European Research Council (ERC) [724473]
- Defense Advanced Research Projects Agency (DARPA) [HR00111890042]
- Institut Universitaire de France
This study introduces and implements an optical scalable spin-glass simulator based on spatial light modulation and multiple light scattering, accelerating the computation of the ground state of large spin networks with random couplings. The results demonstrate an optical advantage over conventional computing, highlighting optical vector-matrix multiplication as a potential tool for spin-glass problems and large-scale computing.
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates an intense search for specific computing hardware that takes advantage of quantum features, nonlinear dynamics, or photonics. A paradigmatic optimization problem is to find low-energy states in classical spin systems with fully random interactions. To date, no alternative computing platform can address such spin-glass problems on a large scale. Here, we propose and realize an optical scalable spin-glass simulator based on spatial light modulation and multiple light scattering. By tailoring optical transmission through a disordered medium, we optically accelerate the computation of the ground state of large spin networks with all-to-all random couplings. Scaling of the operation time with the problem size demonstrates an optical advantage over conventional computing. Our results highlight optical vector-matrix multiplication as a tool for spin-glass problems and provide a general route toward large-scale computing that exploits speed, parallelism, and coherence of light.
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