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

Guo Xingxing et al · Wiley · 2024

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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.

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APA 7

al, G. X. E. (2024). Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing. https://doi.org/10.1515/nanoph-2023-0708

MLA

al, Guo Xingxing et. "Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing." 2024. https://doi.org/10.1515/nanoph-2023-0708.

Chicago

al, Guo Xingxing et. 2024. "Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing.". https://doi.org/10.1515/nanoph-2023-0708.

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al, G. X. E. 2024, Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing, Wiley, available at: https://doi.org/10.1515/nanoph-2023-0708 [Accessed 8 Aug. 2026].

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Titolo
Experimental demonstration of a photonic reservoir computing system based on Fabry Perot laser for multiple tasks processing
Autore / collaboratori
Guo Xingxing et al
Editore
Wiley
Anno di pubblicazione
2024
ISSN
2192-8614
ISSN
2192-8614
Lingua
Inglés

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