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Fully analogue photonic reservoir computer

Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nont...

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Autores principales: Duport, François, Smerieri, Anteo, Akrout, Akram, Haelterman, Marc, Massar, Serge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776108/
https://www.ncbi.nlm.nih.gov/pubmed/26935166
http://dx.doi.org/10.1038/srep22381
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author Duport, François
Smerieri, Anteo
Akrout, Akram
Haelterman, Marc
Massar, Serge
author_facet Duport, François
Smerieri, Anteo
Akrout, Akram
Haelterman, Marc
Massar, Serge
author_sort Duport, François
collection PubMed
description Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed. We address here the possibility to get rid simultaneously of both digital pre and post processing. The standalone fully analogue reservoir computer resulting from our endeavour is compared to previous experiments and only exhibits rather limited degradation of performances. Our experiment constitutes a proof of concept for standalone physical reservoir computers.
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spelling pubmed-47761082016-03-09 Fully analogue photonic reservoir computer Duport, François Smerieri, Anteo Akrout, Akram Haelterman, Marc Massar, Serge Sci Rep Article Introduced a decade ago, reservoir computing is an efficient approach for signal processing. State of the art capabilities have already been demonstrated with both computer simulations and physical implementations. If photonic reservoir computing appears to be promising a solution for ultrafast nontrivial computing, all the implementations presented up to now require digital pre or post processing, which prevents them from exploiting their full potential, in particular in terms of processing speed. We address here the possibility to get rid simultaneously of both digital pre and post processing. The standalone fully analogue reservoir computer resulting from our endeavour is compared to previous experiments and only exhibits rather limited degradation of performances. Our experiment constitutes a proof of concept for standalone physical reservoir computers. Nature Publishing Group 2016-03-03 /pmc/articles/PMC4776108/ /pubmed/26935166 http://dx.doi.org/10.1038/srep22381 Text en Copyright © 2016, Macmillan Publishers Limited 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
Duport, François
Smerieri, Anteo
Akrout, Akram
Haelterman, Marc
Massar, Serge
Fully analogue photonic reservoir computer
title Fully analogue photonic reservoir computer
title_full Fully analogue photonic reservoir computer
title_fullStr Fully analogue photonic reservoir computer
title_full_unstemmed Fully analogue photonic reservoir computer
title_short Fully analogue photonic reservoir computer
title_sort fully analogue photonic reservoir computer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776108/
https://www.ncbi.nlm.nih.gov/pubmed/26935166
http://dx.doi.org/10.1038/srep22381
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