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

Journals >Photonics Research >Volume 9 >Issue 3 >Page B71 > Article

Photonics Research
Vol. 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、*}

Author Affiliations

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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DOI: 10.1364/PRJ.411104 Cite this Article Set citation alerts

Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang, A. I. Lvovsky. Backpropagation through nonlinear units for the all-optical training of neural networks[J]. Photonics Research, 2021, 9(3): B71 Copy Citation Text

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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[J]. Photonics Research, 2021, 9(3): B71

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