Backpropagation through nonlinear units for the all-optical training of neural networks

Xianxin Guo; Thomas D. Barrett; Zhiming M. Wang; A. I. Lvovsky

doi:10.1364/PRJ.411104

Photonics Research, Volume. 9, Issue 3, B71(2021)

Backpropagation through nonlinear units for the all-optical training of neural networks

Xianxin Guo^{1,2,3,5、†,*}, Thomas D. Barrett^2,6、†,*, Zhiming M. Wang^1,7、*, and A. I. Lvovsky^2,4,8、*

¹Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China

²Clarendon Laboratory, University of Oxford, Oxford OX1 3PU, UK

³Institute for Quantum Science and Technology, University of Calgary, Calgary, Alberta T2N 1N4, Canada

⁴Russian Quantum Center, Skolkovo 143025, Moscow, Russia

⁵e-mail: xianxin.guo@physics.ox.ac.uk

⁶e-mail: thomas.barrett@physics.ox.ac.uk

⁷e-mail: zhmwang@uestc.edu.cn

⁸e-mail: alex.lvovsky@physics.ox.ac.uk

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Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky, "Backpropagation through nonlinear units for the all-optical training of neural networks," Photonics Res. 9, B71 (2021)

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Paper Information

Special Issue: DEEP LEARNING IN PHOTONICS

Received: Oct. 8, 2020

Accepted: Jan. 11, 2021

Published Online: Mar. 2, 2021

The Author Email: Xianxin Guo (xianxin.guo@physics.ox.ac.uk), Thomas D. Barrett (thomas.barrett@physics.ox.ac.uk), Zhiming M. Wang (zhmwang@uestc.edu.cn), A. I. Lvovsky (alex.lvovsky@physics.ox.ac.uk)

DOI:10.1364/PRJ.411104

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