Yue, Yuanli, Liu, Shouju, Zhai, Yanrong, Wang, Chao (2022) Experimental Implementation of An All-Optical Reservoir Computer Using Photonic Time Stretch and Spectral Mixing. In: 2022 IEEE International Topical Meeting on Microwave Photonics (MWP). . pp. 1-3. IEEE E-ISBN 978-1-6654-2121-8. (doi:10.1109/mwp54208.2022.9997756) (KAR id:99447)
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Official URL: https://doi.org/10.1109/mwp54208.2022.9997756 |
Abstract
Reservoir computing (RC) has been widely used in processing temporal information and classification tasks due to its high efficiency in training and testing. In this paper, we have experimentally demonstrated the performance of an all-optical reservoir computer based on time stretch and spectral mixing. Spectral comb lines of the stretched optical pulse are chosen as virtual nodes in the reservoir layer. Nonlinear spectral mixing is achieved through phase modulation and semiconductor optical amplification. A simple temporal waveform classification task was implemented using the demonstrated RC system to verify the approach.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/mwp54208.2022.9997756 |
Additional information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Subjects: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7885 Computer engineering. Computer hardware |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: |
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
National Natural Science Foundation of China (https://ror.org/01h0zpd94) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 13 Jan 2023 16:18 UTC |
Last Modified: | 05 Nov 2024 13:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/99447 (The current URI for this page, for reference purposes) |
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