典型文献
Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch
文献摘要：
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)MoS2 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).
文献关键词：
中图分类号：
作者姓名：
Zefeng Xu;Baoshan Tang;Xiangyu Zhang;Jin Feng Leong;Jieming Pan;Sonu Hooda;Evgeny Zamburg;Aaron Voon-Yew Thean
作者机构：
Integrative Sciences and Engineering Programme,NUS Graduate School,National University of Singapore,Singapore,Singapore;Department of Electrical and Computer Engineering,National University of Singapore,4 Engineering Drive 3,Singapore 117583,Singapore
文献出处：
引用格式：
[1]Zefeng Xu;Baoshan Tang;Xiangyu Zhang;Jin Feng Leong;Jieming Pan;Sonu Hooda;Evgeny Zamburg;Aaron Voon-Yew Thean-.Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch)[J].光：科学与应用（英文版）,2022(10):2512-2522
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B类：
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AB值：
0.665283
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