Machine-Learning Enabled Optimization for Robust Soliton Crystal Generation in Microring Resonators | |
Mazoukh, C.1; Di Lauro, L.1; Fischer, B.1; Aadhi, A.1; Alamgir, I.1; Eshaghi, A.2; Little, B.E.3; Chu, S.T.4; Moss, D.J.5; Morandotti, R.1,6 | |
2023 | |
会议名称 | 2023 Conference on Lasers and Electro-Optics, CLEO 2023 |
会议录名称 | 2023 Conference on Lasers and Electro-Optics, CLEO 2023 |
会议日期 | 2023-05-07 |
会议地点 | San Jose, CA, United states |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 3 |
摘要 | We illustrate a novel strategy to robustly generate soliton states in Hydex microring resonators pumped with a continuous-wave laser source, by employing genetic algorithms to optimize the parameters required for coherent state generation. © Optica Publishing Group 2023 © 2023 The Author(s) |
作者部门 | 瞬态光学研究室 |
收录类别 | EI |
ISBN号 | 9781957171258 |
语种 | 英语 |
EI入藏号 | 20234615064619 |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/97019 |
专题 | 瞬态光学研究室 |
作者单位 | 1.INRS-EMT, 1650 Boulevard Lionel Boulet, Varennes; QC; J3X1S2, Canada; 2.Huawei Technologies Canada, ON; L3R 5A4, Canada; 3.Xi 'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 4.City University of Hong Kong, Tat Chee Avenue, Hong Kong; 5.Optical Sciences Centre, Swinburne University of Technology, Hawthorn; VIC; 3122, Australia; 6.Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Sichuan, Chengdu; 610054, China |
推荐引用方式 GB/T 7714 | Mazoukh, C.,Di Lauro, L.,Fischer, B.,et al. Machine-Learning Enabled Optimization for Robust Soliton Crystal Generation in Microring Resonators[C]:Institute of Electrical and Electronics Engineers Inc.,2023. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Machine-Learning Ena(387KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论