Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks

Exploiting internal degrees of freedom of light, such as polarization, provides efficient ways to scale the capacity of optical diffractive computing, which may ultimately lead to high-throughput, multifunctional all-optical diffractive processors that can execute a diverse range of tasks in paralle...

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Detalles Bibliográficos
Autores principales: Zuo, Chao, Chen, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
News & Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259600/
https://www.ncbi.nlm.nih.gov/pubmed/35794086
http://dx.doi.org/10.1038/s41377-022-00903-8
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author Zuo, Chao
Chen, Qian
author_facet Zuo, Chao
Chen, Qian
author_sort Zuo, Chao
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description Exploiting internal degrees of freedom of light, such as polarization, provides efficient ways to scale the capacity of optical diffractive computing, which may ultimately lead to high-throughput, multifunctional all-optical diffractive processors that can execute a diverse range of tasks in parallel. [Image: see text]
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spelling pubmed-92596002022-07-08 Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks Zuo, Chao Chen, Qian Light Sci Appl News & Views Exploiting internal degrees of freedom of light, such as polarization, provides efficient ways to scale the capacity of optical diffractive computing, which may ultimately lead to high-throughput, multifunctional all-optical diffractive processors that can execute a diverse range of tasks in parallel. [Image: see text] Nature Publishing Group UK 2022-07-06 /pmc/articles/PMC9259600/ /pubmed/35794086 http://dx.doi.org/10.1038/s41377-022-00903-8 Text en © The Author(s) 2022 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 News & Views
Zuo, Chao
Chen, Qian
Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title_full Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title_fullStr Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title_full_unstemmed Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title_short Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
title_sort exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259600/
https://www.ncbi.nlm.nih.gov/pubmed/35794086
http://dx.doi.org/10.1038/s41377-022-00903-8
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