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Plasmonic computing of spatial differentiation
Optical analog computing offers high-throughput low-power-consumption operation for specialized computational tasks. Traditionally, optical analog computing in the spatial domain uses a bulky system of lenses and filters. Recent developments in metamaterials enable the miniaturization of such comput...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454537/ https://www.ncbi.nlm.nih.gov/pubmed/28524882 http://dx.doi.org/10.1038/ncomms15391 |
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author | Zhu, Tengfeng Zhou, Yihan Lou, Yijie Ye, Hui Qiu, Min Ruan, Zhichao Fan, Shanhui |
author_facet | Zhu, Tengfeng Zhou, Yihan Lou, Yijie Ye, Hui Qiu, Min Ruan, Zhichao Fan, Shanhui |
author_sort | Zhu, Tengfeng |
collection | PubMed |
description | Optical analog computing offers high-throughput low-power-consumption operation for specialized computational tasks. Traditionally, optical analog computing in the spatial domain uses a bulky system of lenses and filters. Recent developments in metamaterials enable the miniaturization of such computing elements down to a subwavelength scale. However, the required metamaterial consists of a complex array of meta-atoms, and direct demonstration of image processing is challenging. Here, we show that the interference effects associated with surface plasmon excitations at a single metal–dielectric interface can perform spatial differentiation. And we experimentally demonstrate edge detection of an image without any Fourier lens. This work points to a simple yet powerful mechanism for optical analog computing at the nanoscale. |
format | Online Article Text |
id | pubmed-5454537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54545372017-06-07 Plasmonic computing of spatial differentiation Zhu, Tengfeng Zhou, Yihan Lou, Yijie Ye, Hui Qiu, Min Ruan, Zhichao Fan, Shanhui Nat Commun Article Optical analog computing offers high-throughput low-power-consumption operation for specialized computational tasks. Traditionally, optical analog computing in the spatial domain uses a bulky system of lenses and filters. Recent developments in metamaterials enable the miniaturization of such computing elements down to a subwavelength scale. However, the required metamaterial consists of a complex array of meta-atoms, and direct demonstration of image processing is challenging. Here, we show that the interference effects associated with surface plasmon excitations at a single metal–dielectric interface can perform spatial differentiation. And we experimentally demonstrate edge detection of an image without any Fourier lens. This work points to a simple yet powerful mechanism for optical analog computing at the nanoscale. Nature Publishing Group 2017-05-19 /pmc/articles/PMC5454537/ /pubmed/28524882 http://dx.doi.org/10.1038/ncomms15391 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhu, Tengfeng Zhou, Yihan Lou, Yijie Ye, Hui Qiu, Min Ruan, Zhichao Fan, Shanhui Plasmonic computing of spatial differentiation |
title | Plasmonic computing of spatial differentiation |
title_full | Plasmonic computing of spatial differentiation |
title_fullStr | Plasmonic computing of spatial differentiation |
title_full_unstemmed | Plasmonic computing of spatial differentiation |
title_short | Plasmonic computing of spatial differentiation |
title_sort | plasmonic computing of spatial differentiation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454537/ https://www.ncbi.nlm.nih.gov/pubmed/28524882 http://dx.doi.org/10.1038/ncomms15391 |
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