Single perceptron at 12 GigaOPs based on a microcomb for versatile, high-speed scalable, optical neural networks

doi:10.1117/12.2584011

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	Single perceptron at 12 GigaOPs based on a microcomb for versatile, high-speed scalable, optical neural networks
	Tan, M.1; Xu, X.2 ; Wu, J.1; Boes, A.3; Corcoran, B.2; Nguyen, T.G.3; Chu, S.T.4; Little, B.E.5; Morandotti, R.6,7; Mitchell, A.3; Hicks, D.G.1,8; Moss, D.J.1
	2021
会议名称	Smart Photonic and Optoelectronic Integrated Circuits XXIII 2021
会议录名称	Smart Photonic and Optoelectronic Integrated Circuits XXIII
卷号	11690
会议日期	2021-03-06
会议地点	Virtual, Online, United states
出版者	SPIE
产权排序	5
摘要	Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a novel approach to ONNs that uses integrated Kerr optical micro-combs. This approach is programmable and scalable and is capable of reaching ultra-high speeds. We demonstrate the basic building block ONNs- A single neuron perceptron-by mapping synapses onto 49 wavelengths to achieve an operating speed of 11.9 x 109 operations per second, or Giga-OPS, at 8 bits per operation, which equates to 95.2 gigabits/s (Gbps). We test the perceptron on handwritten-digit recognition and cancer-cell detection- A chieving over 90% and 85% accuracy, respectively. By scaling the perceptron to a deep learning network using off-the-shelf telecom technology we can achieve high throughput operation for matrix multiplication for real-time massive data processing. © 2021 SPIE.
关键词	Optical neural networks microwave photonics micro-ring resonators Kerr micro-combs
作者部门	瞬态光学研究室
DOI	10.1117/12.2584011
收录类别	EI
ISBN号	9781510642157
语种	英语
ISSN号	0277786X;1996756X
EI入藏号	20212110381609
引用统计
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/94756
专题	瞬态光学研究室
作者单位	1.Optical Sciences Centre, Swinburne University of Technology, Hawthorn; VIC; 3122, Australia; 2.Dept. of Electrical and Computer Systems Engineering, Monash University, Clayton; VIC; 3800, Australia; 3.School of Engineering, RMIT University, Melbourne; VIC; 3001, Australia; 4.Department of Physics and Material Science, City University of Hong Kong, Tat Chee Avenue, Hong Kong, Hong Kong; 5.Xi'An Institute of Optics and Precision Mechanics Precision Mechanics, CAS, Xi'an, China; 6.INRS-Énergie, Matériaux et Télécommunications, 1650 Boulevard Lionel-Boulet, Varennes; QC; J3X1S2, Canada; 7.Adjunct, Frontier Sciences, University of Electronic Science and Technology of China, Chengdu; 610054, China; 8.Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville; VIC; 3052, Australia
推荐引用方式 GB/T 7714	Tan, M.,Xu, X.,Wu, J.,et al. Single perceptron at 12 GigaOPs based on a microcomb for versatile, high-speed scalable, optical neural networks[C]:SPIE,2021.

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