Single perceptron at 12 GigaOPs based on a microcomb for versatile, high-speed scalable, optical neural networks | |
Tan, M.6; Xu, X.7; Wu, J.6; Boes, A.5; Corcoran, B.7; Nguyen, T.G.5; Chu, S.T.4; Little, B.E.3; Morandotti, R.2,8; Mitchell, A.5 | |
2021 | |
会议日期 | 2021-03-06 |
会议地点 | Virtual, Online, United states |
关键词 | Optical neural networks microwave photonics micro-ring resonators Kerr micro-combs |
卷号 | 11690 |
DOI | 10.1117/12.2584011 |
英文摘要 | 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. |
产权排序 | 5 |
会议录 | Smart Photonic and Optoelectronic Integrated Circuits XXIII |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
ISBN号 | 9781510642157 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/94756] |
专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
作者单位 | 1.Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville; VIC; 3052, Australia 2.INRS-Énergie, Matériaux et Télécommunications, 1650 Boulevard Lionel-Boulet, Varennes; QC; J3X1S2, Canada; 3.Xi'An Institute of Optics and Precision Mechanics Precision Mechanics, CAS, Xi'an, China; 4.Department of Physics and Material Science, City University of Hong Kong, Tat Chee Avenue, Hong Kong, Hong Kong; 5.School of Engineering, RMIT University, Melbourne; VIC; 3001, Australia; 6.Optical Sciences Centre, Swinburne University of Technology, Hawthorn; VIC; 3122, Australia; 7.Dept. of Electrical and Computer Systems Engineering, Monash University, Clayton; VIC; 3800, Australia; 8.Adjunct, Frontier Sciences, University of Electronic Science and Technology of China, Chengdu; 610054, China; |
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]. 见:. Virtual, Online, United states. 2021-03-06. |
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