Silicon-based Optical Neural Network Chip Based on Coherent Detection

Ruiting Wang; Pengfei Wang; Guangzhen Luo; Hongyan Yu; Xuliang Zhou; Yejin Zhang; Jiaoqing Pan

doi:10.1364/ACPC.2020.T2D.4

Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
OSA Technical Digest (Optica Publishing Group, 2020),
paper T2D.4
•https://doi.org/10.1364/ACPC.2020.T2D.4

Silicon-based Optical Neural Network Chip Based on Coherent Detection

Ruiting Wang, Pengfei Wang, Guangzhen Luo, Hongyan Yu, Xuliang Zhou, Yejin Zhang, and Jiaoqing Pan

Asia Communications and Photonics Conference 2020

Beijing China
24–27 October 2020
ISBN: 978-1-943580-82-8

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Programmable Silicon Devices (T2D)

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R. Wang, P. Wang, G. Luo, H. Yu, X. Zhou, Y. Zhang, and J. Pan, "Silicon-based Optical Neural Network Chip Based on Coherent Detection," in Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), K. Xu, D. Simeonidou, C. Chang-Hasnain, N. Wada, X. Ren, Z. Zhukov, P. Perry Shum, Y. Ji, J. Zhang, X. Zhou, C. Lu, and L. Wosinska, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper T2D.4.

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Abstract

We design a silicon-based optical neural network (ONN) chip based on coherent detection. Nonnegative neural networks are trained and tested on three different datasets and test accuracies are 96.67%, 97.22% and 96.16% respectively.

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