Photonic elementary cellular automata for simulation of complex phenomena

Gordon H. Y. Li; Christian R. Leefmans; James Williams; Alireza Marandi

doi:10.1038/s41377-023-01180-9

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Photonic elementary cellular automata for simulation of complex phenomena

Original Articles

- Photonic elementary cellular automata for simulation of complex phenomena
- Photonic elementary cellular automata for simulation of complex phenomena
- LSA 2023年12卷第7期页码：1309-1317
- Affiliations：
  
  1.Department of Applied Physics, California Institute of Technology, Pasadena, CA 91125, USA
  2.Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Author bio：
  
  Alireza Marandi (marandi@caltech.edu)
- Funds：
- DOI：10.1038/s41377-023-01180-9
  中图分类号：
- 纸质出版日期：2023-07-31，
  
  网络出版日期：2023-05-30，
  
  收稿日期：2022-12-08，
  
  修回日期：2023-04-28，
  
  录用日期：2023-05-08
- Accepted：
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Photonic elementary cellular automata for simulation of complex phenomena[J]. LSA, 2023,12(7):1309-1317.

Li, G. H. Y. et al. Photonic elementary cellular automata for simulation of complex phenomena. Light: Science & Applications, 7, 1309-1317 (2023).
Photonic elementary cellular automata for simulation of complex phenomena[J]. LSA, 2023,12(7):1309-1317. DOI： 10.1038/s41377-023-01180-9.

Li, G. H. Y. et al. Photonic elementary cellular automata for simulation of complex phenomena. Light: Science & Applications, 7, 1309-1317 (2023). DOI： 10.1038/s41377-023-01180-9.

摘要

Abstract

Cellular automata are a class of computational models based on simple rules and algorithms that can simulate a wide range of complex phenomena. However

when using conventional computers

these 'simple' rules are only encapsulated at the level of software. This can be taken one step further by simplifying the underlying physical hardware. Here

we propose and implement a simple photonic hardware platform for simulating complex phenomena based on cellular automata. Using this special-purpose computer

we experimentally demonstrate complex phenomena

including fractals

chaos

and solitons

which are typically associated with much more complex physical systems. The flexibility and programmability of our photonic computer present new opportunities to simulate and harness complexity for efficient

robust

and decentralized information processing using light.

关键词

Keywords

references

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