Microcombs for ultrahigh bandwidth optical data transmission and neural networks
文献类型：会议论文
| 作者 | Tan, M.7; Xu, X.6; Corcoran, B.6; Wu, J.7; Boes, A.5; Nguyen, T.5; Chu, S.4; Little, B.3; Morandotti, R.1,2; Mitchell, A.5 |
| 出版日期 | 2021 |
| 会议日期 | 2021-04-19 |
| 会议地点 | Virtual, Online, Czech republic |
| 关键词 | Optical neural networks neuromorphic processor microcomb convolutional accelerator data transmission |
| 卷号 | 11775 |
| DOI | 10.1117/12.2588733 |
| 英文摘要 | We report ultrahigh bandwidth applications of Kerr microcombs to optical neural networks and to optical data transmission, at data rates from 44 Terabits/s (Tb/s) to approaching 100 Tb/s. Convolutional neural networks (CNNs) are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network complexity and enhance the accuracy for machine learning tasks such as computer vision, speech recognition, playing board games and medical diagnosis [1-7]. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with an extremely low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously — enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. We also report world record high data transmission over standard optical fiber from a single optical source, at 44.2 Terabits/s over the C-band, with a spectral efficiency of 10.4 bits/s/Hz, with a coherent data modulation format of 64 QAM. We achieve error free transmission across 75 km of standard optical fiber in the lab and over a field trial with a metropolitan optical fiber network. Our work demonstrates the ability of optical soliton crystal micro-combs to exceed other approaches in performance for the most demanding practical optical communications applications. © 2021 SPIE. |
| 产权排序 | 5 |
| 会议录 | Integrated Optics: Design, Devices, Systems and Applications VI
 |
| 会议录出版者 | SPIE |
| 语种 | 英语 |
| ISSN号 | 0277786X;1996756X |
| ISBN号 | 9781510643840 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/94957]  |
| 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.Inst. of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu; 610054, China 2.INRS-Énergie, Matériaux et Télécommunications, 1650 Boulevard Lionel-Boulet, Varennes; QC; J3X 1S2, Canada; 3.Xi’an Institute of Optics and Precision Mechanics Precision Mechanics of CAS, Xi’an, China; 4.Department of Physics, City University of Hong Kong, Tat Chee Avenue, Hong Kong, Hong Kong; 5.School of Engineering, RMIT University, Melbourne; VIC; 3001, Australia; 6.Department of Electrical and Computer Systems Engineering, Monash University, Clayton; VIC; 3800, Australia; 7.Optical Sciences Centre, Swinburne University of Technology, Hawthorn; VIC; 3122, Australia; |
| 推荐引用方式 GB/T 7714 | Tan, M.,Xu, X.,Corcoran, B.,et al. Microcombs for ultrahigh bandwidth optical data transmission and neural networks[C]. 见:. Virtual, Online, Czech republic. 2021-04-19. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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