Parallel neuromorphic computing on space and wavelength division multiplexed photonic processor

Mitsumasa Nakajima

doi:10.1117/12.2692003

13 March 2024 Parallel neuromorphic computing on space and wavelength division multiplexed photonic processor

Mitsumasa Nakajima

Proceedings Volume 12903, AI and Optical Data Sciences V; 129030I (2024) https://doi.org/10.1117/12.2692003
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

Analog photonic processing is one of the attractive computation engines for machine learning. Here, we show recent progress on scaling up analog photonic platforms including a large-scale WDM-based matrix-vector processor and onchip photonic linear processor, as well as their application to reservoir computing and hardware-oriented training. Our approach scales up the photonic analog processing towards the fundamental Nyquist limit.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mitsumasa Nakajima "Parallel neuromorphic computing on space and wavelength division multiplexed photonic processor", Proc. SPIE 12903, AI and Optical Data Sciences V, 129030I (13 March 2024); https://doi.org/10.1117/12.2692003

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