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.
Authors
- Zhen-Sheng Yuan (ORCID: https://orcid.org/0000-0003-4580-8225)
- Sheng Fang (ORCID: https://orcid.org/0000-0002-2352-0434)
- Youjin Deng (ORCID: https://orcid.org/0000-0001-9743-4013)
- Ming-Gen He
- S. S. Yu (ORCID: https://orcid.org/0009-0007-5849-6116)
Institutions
- University of Science and Technology of China (CN)
- Beijing Normal University (CN)
- Hefei National Center for Physical Sciences at Nanoscale (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province