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Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits

We present a numerical study of a passive integrated photonics reservoir computing platform based on multimodal Y-junctions. We propose a novel design of this junction where the level of adiabaticity is carefully tailored to capture the radiation loss in higher-order modes, while at the same time pr...

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Autores principales: Katumba, Andrew, Heyvaert, Jelle, Schneider, Bendix, Uvin, Sarah, Dambre, Joni, Bienstman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805717/
https://www.ncbi.nlm.nih.gov/pubmed/29422504
http://dx.doi.org/10.1038/s41598-018-21011-x
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author Katumba, Andrew
Heyvaert, Jelle
Schneider, Bendix
Uvin, Sarah
Dambre, Joni
Bienstman, Peter
author_facet Katumba, Andrew
Heyvaert, Jelle
Schneider, Bendix
Uvin, Sarah
Dambre, Joni
Bienstman, Peter
author_sort Katumba, Andrew
collection PubMed
description We present a numerical study of a passive integrated photonics reservoir computing platform based on multimodal Y-junctions. We propose a novel design of this junction where the level of adiabaticity is carefully tailored to capture the radiation loss in higher-order modes, while at the same time providing additional mode mixing that increases the richness of the reservoir dynamics. With this design, we report an overall average combination efficiency of 61% compared to the standard 50% for the single-mode case. We demonstrate that with this design, much more power is able to reach the distant nodes of the reservoir, leading to increased scaling prospects. We use the example of a header recognition task to confirm that such a reservoir can be used for bit-level processing tasks. The design itself is CMOS-compatible and can be fabricated through the known standard fabrication procedures.
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spelling pubmed-58057172018-02-16 Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits Katumba, Andrew Heyvaert, Jelle Schneider, Bendix Uvin, Sarah Dambre, Joni Bienstman, Peter Sci Rep Article We present a numerical study of a passive integrated photonics reservoir computing platform based on multimodal Y-junctions. We propose a novel design of this junction where the level of adiabaticity is carefully tailored to capture the radiation loss in higher-order modes, while at the same time providing additional mode mixing that increases the richness of the reservoir dynamics. With this design, we report an overall average combination efficiency of 61% compared to the standard 50% for the single-mode case. We demonstrate that with this design, much more power is able to reach the distant nodes of the reservoir, leading to increased scaling prospects. We use the example of a header recognition task to confirm that such a reservoir can be used for bit-level processing tasks. The design itself is CMOS-compatible and can be fabricated through the known standard fabrication procedures. Nature Publishing Group UK 2018-02-08 /pmc/articles/PMC5805717/ /pubmed/29422504 http://dx.doi.org/10.1038/s41598-018-21011-x Text en © The Author(s) 2018 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
Katumba, Andrew
Heyvaert, Jelle
Schneider, Bendix
Uvin, Sarah
Dambre, Joni
Bienstman, Peter
Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title_full Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title_fullStr Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title_full_unstemmed Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title_short Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
title_sort low-loss photonic reservoir computing with multimode photonic integrated circuits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805717/
https://www.ncbi.nlm.nih.gov/pubmed/29422504
http://dx.doi.org/10.1038/s41598-018-21011-x
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