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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5805717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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