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Topological optical differentiator
Optical computing holds significant promise of information processing with ultrahigh speed and low power consumption. Recent developments in nanophotonic structures have generated renewed interests due to the prospects of performing analog optical computing with compact devices. As one prominent exa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846860/ https://www.ncbi.nlm.nih.gov/pubmed/33514708 http://dx.doi.org/10.1038/s41467-021-20972-4 |
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author | Zhu, Tengfeng Guo, Cheng Huang, Junyi Wang, Haiwen Orenstein, Meir Ruan, Zhichao Fan, Shanhui |
author_facet | Zhu, Tengfeng Guo, Cheng Huang, Junyi Wang, Haiwen Orenstein, Meir Ruan, Zhichao Fan, Shanhui |
author_sort | Zhu, Tengfeng |
collection | PubMed |
description | Optical computing holds significant promise of information processing with ultrahigh speed and low power consumption. Recent developments in nanophotonic structures have generated renewed interests due to the prospects of performing analog optical computing with compact devices. As one prominent example, spatial differentiation has been demonstrated with nanophotonic structures and directly applied for edge detection in image processing. However, broadband isotropic two-dimensional differentiation, which is required in most imaging processing applications, has not been experimentally demonstrated yet. Here, we establish a connection between two-dimensional optical spatial differentiation and a nontrivial topological charge in the optical transfer function. Based on this connection, we experimentally demonstrate an isotropic two-dimensional differentiation with a broad spectral bandwidth, by using the simplest photonic device, i.e. a single unpatterned interface. Our work indicates that exploiting concepts from topological photonics can lead to new opportunities in optical computing. |
format | Online Article Text |
id | pubmed-7846860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78468602021-02-08 Topological optical differentiator Zhu, Tengfeng Guo, Cheng Huang, Junyi Wang, Haiwen Orenstein, Meir Ruan, Zhichao Fan, Shanhui Nat Commun Article Optical computing holds significant promise of information processing with ultrahigh speed and low power consumption. Recent developments in nanophotonic structures have generated renewed interests due to the prospects of performing analog optical computing with compact devices. As one prominent example, spatial differentiation has been demonstrated with nanophotonic structures and directly applied for edge detection in image processing. However, broadband isotropic two-dimensional differentiation, which is required in most imaging processing applications, has not been experimentally demonstrated yet. Here, we establish a connection between two-dimensional optical spatial differentiation and a nontrivial topological charge in the optical transfer function. Based on this connection, we experimentally demonstrate an isotropic two-dimensional differentiation with a broad spectral bandwidth, by using the simplest photonic device, i.e. a single unpatterned interface. Our work indicates that exploiting concepts from topological photonics can lead to new opportunities in optical computing. Nature Publishing Group UK 2021-01-29 /pmc/articles/PMC7846860/ /pubmed/33514708 http://dx.doi.org/10.1038/s41467-021-20972-4 Text en © The Author(s) 2021, corrected publication 2021 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 Zhu, Tengfeng Guo, Cheng Huang, Junyi Wang, Haiwen Orenstein, Meir Ruan, Zhichao Fan, Shanhui Topological optical differentiator |
title | Topological optical differentiator |
title_full | Topological optical differentiator |
title_fullStr | Topological optical differentiator |
title_full_unstemmed | Topological optical differentiator |
title_short | Topological optical differentiator |
title_sort | topological optical differentiator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846860/ https://www.ncbi.nlm.nih.gov/pubmed/33514708 http://dx.doi.org/10.1038/s41467-021-20972-4 |
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