Cargando…
Photonic elementary cellular automata for simulation of complex phenomena
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 simpl...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229568/ https://www.ncbi.nlm.nih.gov/pubmed/37253721 http://dx.doi.org/10.1038/s41377-023-01180-9 |
_version_ | 1785051286834511872 |
---|---|
author | Li, Gordon H. Y. Leefmans, Christian R. Williams, James Marandi, Alireza |
author_facet | Li, Gordon H. Y. Leefmans, Christian R. Williams, James Marandi, Alireza |
author_sort | Li, Gordon H. Y. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10229568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102295682023-06-01 Photonic elementary cellular automata for simulation of complex phenomena Li, Gordon H. Y. Leefmans, Christian R. Williams, James Marandi, Alireza Light Sci Appl Article 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. Nature Publishing Group UK 2023-05-30 /pmc/articles/PMC10229568/ /pubmed/37253721 http://dx.doi.org/10.1038/s41377-023-01180-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Gordon H. Y. Leefmans, Christian R. Williams, James Marandi, Alireza Photonic elementary cellular automata for simulation of complex phenomena |
title | Photonic elementary cellular automata for simulation of complex phenomena |
title_full | Photonic elementary cellular automata for simulation of complex phenomena |
title_fullStr | Photonic elementary cellular automata for simulation of complex phenomena |
title_full_unstemmed | Photonic elementary cellular automata for simulation of complex phenomena |
title_short | Photonic elementary cellular automata for simulation of complex phenomena |
title_sort | photonic elementary cellular automata for simulation of complex phenomena |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229568/ https://www.ncbi.nlm.nih.gov/pubmed/37253721 http://dx.doi.org/10.1038/s41377-023-01180-9 |
work_keys_str_mv | AT ligordonhy photonicelementarycellularautomataforsimulationofcomplexphenomena AT leefmanschristianr photonicelementarycellularautomataforsimulationofcomplexphenomena AT williamsjames photonicelementarycellularautomataforsimulationofcomplexphenomena AT marandialireza photonicelementarycellularautomataforsimulationofcomplexphenomena |