Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch

Zefeng Xu; Baoshan Tang; Xiangyu Zhang; Jin Feng Leong; Jieming Pan; Sonu Hooda; Evgeny Zamburg; Aaron Voon-Yew Thean

doi:10.1038/s41377-022-00976-5

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Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch

Original Articles

- Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch
- Light: Science & Applications Vol. 11, Issue 10, Pages: 2512-2522(2022)
- Affiliations：
  
  1.Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, Singapore
  2.Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore
- Author bio：
  
  Zefeng Xu (xuzefeng@u.nus.edu)
  Aaron VoonYew Thean (Aaron.Thean@nus.edu.sg)
- Funds：
- DOI：10.1038/s41377-022-00976-5
  CLC：
- Published：31 October 2022，
  
  Published Online：06 October 2022，
  
  Received：23 February 2022，
  
  Revised：15 August 2022，
  
  Accepted：30 August 2022
- Accepted：
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Xu, Z. F. et al. Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch. Light: Science & Applications, 11, 2512-2522 (2022).
DOI：

Xu, Z. F. et al. Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch. Light: Science & Applications, 11, 2512-2522 (2022). DOI： 10.1038/s41377-022-00976-5.

摘要

Abstract

Photonic neural network has been sought as an alternative solution to surpass the efficiency and speed bottlenecks of electronic neural network. Despite that the integrated Mach–Zehnder Interferometer (MZI) mesh can perform vector-matrix multiplication in photonic neural network

a programmable in-situ nonlinear activation function has not been proposed to date

suppressing further advancement of photonic neural network. Here

we demonstrate an efficient in-situ nonlinear accelerator comprising a unique solution-processed two-dimensional (2D) MoS

Opto-Resistive RAM Switch (ORS)

which exhibits tunable nonlinear resistance switching that allow us to introduce nonlinearity to the photonic neuron which overcomes the linear voltage-power relationship of typical photonic components. Our reconfigurable scheme enables implementation of a wide variety of nonlinear responses. Furthermore

we confirm its feasibility and capability for MNIST handwritten digit recognition

achieving a high accuracy of 91.6%. Our accelerator constitutes a major step towards the realization of in-situ photonic neural network and pave the way for the integration of photonic integrated circuits (PIC).

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Keywords

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