Spatial Optical Simulator for Classical Statistical Models

Optical simulators for the Ising model have demonstrated great promise for solving challenging problems in physics and beyond. Here, we develop a spatial optical simulator for a variety of classical statistical systems, including the clock, XY, Potts, and Heisenberg models, utilizing a digital micromirror device composed of a large number of tiny mirrors. Spins, with desired amplitudes or phases of the statistical models, are precisely encoded by a patch of mirrors with a superpixel approach. Then, by modulating the light field in a sequence of designed patterns, the spin-spin interaction is realized in such a way that the Hamiltonian symmetries are preserved. We successfully simulate statistical systems on a fully connected network, with ferromagnetic or Mattis-type random interactions, and observe the corresponding phase transitions between the paramagnetic and the ferromagnetic or spin-glass phases. Our results largely extend the research scope of spatial optical simulators and their versatile applications.

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Publication Details

Journal
Physical Review Letters
Published
2024-12-03
DOI
https://doi.org/10.1103/physrevlett.133.237101
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.35

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article

Spatial Optical Simulator for Classical Statistical Models

Zhen-Sheng Yuan, Sheng Fang, Youjin Deng, Ming-Gen He et al.
1 citations
Physical Review Letters
Neural Networks and Reservoir Computing
0.35
article

Spatial Optical Simulator for Classical Statistical Models

Zhen-Sheng Yuan, Sheng Fang, Youjin Deng, Ming-Gen He, S. S. Yu
article en
1 citations

Abstract

Optical simulators for the Ising model have demonstrated great promise for solving challenging problems in physics and beyond. Here, we develop a spatial optical simulator for a variety of classical statistical systems, including the clock, XY, Potts, and Heisenberg models, utilizing a digital micromirror device composed of a large number of tiny mirrors. Spins, with desired amplitudes or phases of the statistical models, are precisely encoded by a patch of mirrors with a superpixel approach. Then, by modulating the light field in a sequence of designed patterns, the spin-spin interaction is realized in such a way that the Hamiltonian symmetries are preserved. We successfully simulate statistical systems on a fully connected network, with ferromagnetic or Mattis-type random interactions, and observe the corresponding phase transitions between the paramagnetic and the ferromagnetic or spin-glass phases. Our results largely extend the research scope of spatial optical simulators and their versatile applications.

Physical Review LettersVol. 133(23)
University of Science and Technology of China (CN), Beijing Normal University (CN), Hefei National Center for Physical Sciences at Nanoscale (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 31%
Neural Networks and Reservoir Computing
0.35
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Spatial Optical Simulator for Classical Statistical Models — Zhen-Sheng Yuan, Sheng Fang, et al. · Physical Review Letters (2024) | TGRS Research Map | TGRS