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Deep Photonic Time-delay Reservoir Computing for Information Processing Acceleration
College of Information Science and Electronic Engineering Zhejiang University Hangzhou, China.
College of Information Science and Electronic Engineering Zhejiang University Hangzhou, China.
KTH, School of Engineering Sciences (SCI), Applied Physics.ORCID iD: 0000-0003-4906-1704
KTH, School of Engineering Sciences (SCI), Applied Physics.ORCID iD: 0000-0001-9839-7488
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2024 (English)In: 2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

We propose deep photonic time-delay-reservoir-computing for accelerated information processing. Experimental evaluation using image classification demonstrated a sixfold increase in processing speed with only a 0.6% performance degradation, while conventional TDRC experiences a 5.5% performance degradation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
Keywords [en]
computation acceleration, optical neural network, photonic reservoir computing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-358867DOI: 10.1109/ACP/IPOC63121.2024.10809590Scopus ID: 2-s2.0-85214990001OAI: oai:DiVA.org:kth-358867DiVA, id: diva2:1930520
Conference
2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024, Beijing, China, Nov 2 2024 - Nov 5 2024
Note

Part of ISBN 9798350379266]

QC 20250123

Available from: 2025-01-23 Created: 2025-01-23 Last updated: 2025-01-23Bibliographically approved

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Pang, XiaodanOzolins, Oskars

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