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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...

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Detalles Bibliográficos
Autores principales: Pérez, Daniel, Gasulla, Ivana, Crudgington, Lee, Thomson, David J., Khokhar, Ali Z., Li, Ke, Cao, Wei, Mashanovich, Goran Z., Capmany, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
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.
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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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