Predicting Kerr Soliton Combs in Microresonators via Deep Neural Networks

被引：12

作者：

Tan, Teng ^{[1
,2
]}

Peng, Cheng ^{[1
,3
,4
]}

Yuan, Zhongye ^{[1
]}

Xie, Xu ^{[10
]}

Liu, Hao ^{[5
]}

Xie, Zhenda ^{[6
,7
,8
]}

Huang, Shu-Wei ^{[9
]}

Rao, Yunjiang ^{[1
,2
]}

Yao, Baicheng ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Key Lab Opt Fiber Sensing & Commun, Educ Minist China, Chengdu 611731, Peoples R China

[2] Zhejiang Lab, Res Ctr Opt Fiber Sensing, Hangzhou 310000, Peoples R China

[3] Univ Elect Sci & Technol China, Glasgow Colleague, Chengdu 611731, Peoples R China

[4] Univ Glasgow, Sch Engn, Glasgow G12 8QQ, Lanark, Scotland

[5] Univ Calif Los Angeles, Fang Lu Mesoscop Opt & Quantum Elect Lab, Los Angeles, CA 90095 USA

[6] Nanjing Univ, Natl Lab Solid State Microstruct, Nanjing 210023, Peoples R China

[7] Nanjing Univ, Sch Phys, Sch Elect Sci & Engn, Nanjing 210023, Peoples R China

[8] Nanjing Univ, Coll Engn & Appl Sci, Nanjing 210023, Peoples R China

[9] Univ Colorado, Dept Elect Comp & Energy Engn, Boulder, CO 80309 USA

[10] Univ Calif Los Angeles, Stat Dept, UCLA Ctr Vis Cogn Learning & Anat, Los Angeles, CA USA

来源：

JOURNAL OF LIGHTWAVE TECHNOLOGY | 2020年 / 38卷 / 23期

基金：

中国国家自然科学基金;

关键词：

Deep neural networks; Kerr solitons; microresonators; FREQUENCY COMBS; GENERATION;

D O I：

10.1109/JLT.2020.3015586

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Formation of the Kerr soliton combs is a widely recognized important but complex issue, which relates to cross-influences among intra-cavity nonlinearities, chromatic dispersions, mode interactions, and pumping effects. Here, we propose and demonstrate a deep neural network model to predict Kerr comb spectra in silica microspheres statistically, via training their transmission spectra. Such a scheme enables soliton comb identification under a particular pump scanning, with error <8%, verified by experimental measurements. This study bridging the deep learning and the microcomb photonics, may provide a powerful and convenient tool for photonic device test and investigation.

引用

页码：6591 / 6599

页数：9

共 48 条

[1]

Agarap A. F., 2018, DEEP LEARNING USING, V2, P8375

[2] Fiber laser mode locked through an evolutionary algorithm [J].

Andral, U. ;

Fodil, R. Si ;

Amrani, F. ;

Billard, F. ;

Hertz, E. ;

Grelu, P. .

OPTICA, 2015, 2 (04) :275-278

[3] Optimization of photonic crystal nanocavities based on deep learning [J].

Asano, Takashi ;

Noda, Susumu .

OPTICS EXPRESS, 2018, 26 (25) :32704-32716

[4] Spatial mode-interaction induced single soliton generation in microresonators [J].

Bao, Chengying ;

Xuan, Yi ;

Leaird, Daniel E. ;

Wabnitz, Stefan ;

Qi, Minghao ;

Weiner, Andrew M. .

OPTICA, 2017, 4 (09) :1011-1015

[5] Learning to see through multimode fibers [J].

Borhani, Navid ;

Kakkava, Eirini ;

Moser, Christophe ;

Psaltis, Demetri .

OPTICA, 2018, 5 (08) :960-966

[6] Photonic chip-based optical frequency comb using soliton Cherenkov radiation [J].

Brasch, V. ;

Geiselmann, M. ;

Herr, T. ;

Lihachev, G. ;

Pfeiffer, M. H. P. ;

Gorodetsky, M. L. ;

Kippenberg, T. J. .

SCIENCE, 2016, 351 (6271) :357-360

[7] Reinforcement learning in a large-scale photonic recurrent neural network [J].

Bueno, J. ;

Maktoobi, S. ;

Froehly, L. ;

Fischer, I. ;

Jacquot, M. ;

Larger, L. ;

Brunner, D. .

OPTICA, 2018, 5 (06) :756-760

[8] Biochemical sensing in graphene-enhanced microfiber resonators with individual molecule sensitivity and selectivity [J].

Cao, Zhongxu ;

Yao, Baicheng ;

Qin, Chenye ;

Yang, Run ;

Guo, Yanhong ;

Zhang, Yufeng ;

Wu, Yu ;

Bi, Lei ;

Chen, Yuanfu ;

Xie, Zhenda ;

Peng, Gangding ;

Huang, Shu-Wei ;

Wong, Chee Wei ;

Rao, Yunjiang .

LIGHT-SCIENCE & APPLICATIONS, 2019, 8 (1)

[9] Solving the quantum many-body problem with artificial neural networks [J].

Carleo, Giuseppe ;

Troyer, Matthias .

SCIENCE, 2017, 355 (6325) :602-605

[10] Machine Learning Phases of Strongly Correlated Fermions [J].

Ch'ng, Kelvin ;

Carrasquilla, Juan ;

Melko, Roger G. ;

Khatami, Ehsan .

PHYSICAL REVIEW X, 2017, 7 (03)

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