High-speed time series prediction and classification on an all-optical neural network

Aashu Jha; Chaoran Huang; Chaoran Huang; Hsuan-Tung Peng; Weipeng Zhang; Bhavin Shastri; Bhavin Shastri; Paul R. Prucnal

doi:10.1364/OFC.2022.Tu3G.3

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Tu3G.3
•https://doi.org/10.1364/OFC.2022.Tu3G.3

High-speed time series prediction and classification on an all-optical neural network

Aashu Jha, Chaoran Huang, Hsuan-Tung Peng, Weipeng Zhang, Bhavin Shastri, and Paul R. Prucnal

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

From the session
Novel and Emerging Networks (Tu3G)

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A. Jha, C. Huang, H. Peng, W. Zhang, B. Shastri, and P. R. Prucnal, "High-speed time series prediction and classification on an all-optical neural network," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Tu3G.3.

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Abstract

We experimentally demonstrate high-speed time series prediction and binary classification tasks using an all-optical integrated SiN-based nonlinear photonic node in a time-delay based reservoir architecture.

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