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Multipurpose silicon photonics signal processor core
Integrated photonics changes the scaling laws of information and communication systems offering architectural choices that combine photonics with electronics to optimize performance, power, footprint, and cost. Application-specific photonic integrated circuits, where particular circuits/chips are de...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608755/ https://www.ncbi.nlm.nih.gov/pubmed/28935924 http://dx.doi.org/10.1038/s41467-017-00714-1 |
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author | Pérez, Daniel Gasulla, Ivana Crudgington, Lee Thomson, David J. Khokhar, Ali Z. Li, Ke Cao, Wei Mashanovich, Goran Z. Capmany, José |
author_facet | Pérez, Daniel Gasulla, Ivana Crudgington, Lee Thomson, David J. Khokhar, Ali Z. Li, Ke Cao, Wei Mashanovich, Goran Z. Capmany, José |
author_sort | Pérez, Daniel |
collection | PubMed |
description | Integrated photonics changes the scaling laws of information and communication systems offering architectural choices that combine photonics with electronics to optimize performance, power, footprint, and cost. Application-specific photonic integrated circuits, where particular circuits/chips are designed to optimally perform particular functionalities, require a considerable number of design and fabrication iterations leading to long development times. A different approach inspired by electronic Field Programmable Gate Arrays is the programmable photonic processor, where a common hardware implemented by a two-dimensional photonic waveguide mesh realizes different functionalities through programming. Here, we report the demonstration of such reconfigurable waveguide mesh in silicon. We demonstrate over 20 different functionalities with a simple seven hexagonal cell structure, which can be applied to different fields including communications, chemical and biomedical sensing, signal processing, multiprocessor networks, and quantum information systems. Our work is an important step toward this paradigm. |
format | Online Article Text |
id | pubmed-5608755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56087552017-09-25 Multipurpose silicon photonics signal processor core Pérez, Daniel Gasulla, Ivana Crudgington, Lee Thomson, David J. Khokhar, Ali Z. Li, Ke Cao, Wei Mashanovich, Goran Z. Capmany, José Nat Commun Article Integrated photonics changes the scaling laws of information and communication systems offering architectural choices that combine photonics with electronics to optimize performance, power, footprint, and cost. Application-specific photonic integrated circuits, where particular circuits/chips are designed to optimally perform particular functionalities, require a considerable number of design and fabrication iterations leading to long development times. A different approach inspired by electronic Field Programmable Gate Arrays is the programmable photonic processor, where a common hardware implemented by a two-dimensional photonic waveguide mesh realizes different functionalities through programming. Here, we report the demonstration of such reconfigurable waveguide mesh in silicon. We demonstrate over 20 different functionalities with a simple seven hexagonal cell structure, which can be applied to different fields including communications, chemical and biomedical sensing, signal processing, multiprocessor networks, and quantum information systems. Our work is an important step toward this paradigm. Nature Publishing Group UK 2017-09-21 /pmc/articles/PMC5608755/ /pubmed/28935924 http://dx.doi.org/10.1038/s41467-017-00714-1 Text en © The Author(s) 2017 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/. |
spellingShingle | Article Pérez, Daniel Gasulla, Ivana Crudgington, Lee Thomson, David J. Khokhar, Ali Z. Li, Ke Cao, Wei Mashanovich, Goran Z. Capmany, José Multipurpose silicon photonics signal processor core |
title | Multipurpose silicon photonics signal processor core |
title_full | Multipurpose silicon photonics signal processor core |
title_fullStr | Multipurpose silicon photonics signal processor core |
title_full_unstemmed | Multipurpose silicon photonics signal processor core |
title_short | Multipurpose silicon photonics signal processor core |
title_sort | multipurpose silicon photonics signal processor core |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608755/ https://www.ncbi.nlm.nih.gov/pubmed/28935924 http://dx.doi.org/10.1038/s41467-017-00714-1 |
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