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Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing

Authors :
Guo Xingxing
Zhou Hanxu
Xiang Shuiying
Yu Qian
Zhang Yahui
Han Yanan
Wang Tao
Hao Yue
Source :
Nanophotonics, Vol 13, Iss 9, Pp 1569-1580 (2024)
Publication Year :
2024
Publisher :
De Gruyter, 2024.

Abstract

Photonic reservoir computing (RC) is a simple and efficient neuromorphic computing framework for human cortical circuits, which is featured with fast training speed and low training cost. Photonic time delay RC, as a simple hardware implementation method of RC, has attracted widespread attention. In this paper, we present and experimentally demonstrate a time delay RC system based on a Fabry Perot (FP) laser for multiple tasks processing. Here, the various tasks are attempted to perform in parallel in the multiple longitudinal modes of the FP laser. It is found that the time delay RC system based on the FP laser can successfully handle different tasks across multiple longitudinal modes simultaneously. The experimental results demonstrate the potential of the time delay RC system based on the FP laser to achieve multiple tasks processing, providing various possibilities for improving the information processing ability of neural morphology RC systems, and promoting the development of RC systems.

Details

Language :
English
ISSN :
21928614
Volume :
13
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Nanophotonics
Publication Type :
Academic Journal
Accession number :
edsdoj.b02f865d81b54f5cb48ba01f885b4e23
Document Type :
article
Full Text :
https://doi.org/10.1515/nanoph-2023-0708