首页|Efficient stochastic parallel gradient descent training for on-chip optical processor

Efficient stochastic parallel gradient descent training for on-chip optical processor

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In recent years,space-division multiplexing(SDM)technology,which involves transmitting data information on multiple parallel channels for efficient capacity scaling,has been widely used in fiber and free-space optical communication sys-tems.To enable flexible data management and cope with the mixing between different channels,the integrated reconfig-urable optical processor is used for optical switching and mitigating the channel crosstalk.However,efficient online train-ing becomes intricate and challenging,particularly when dealing with a significant number of channels.Here we use the stochastic parallel gradient descent(SPGD)algorithm to configure the integrated optical processor,which has less com-putation than the traditional gradient descent(GD)algorithm.We design and fabricate a 6×6 on-chip optical processor on silicon platform to implement optical switching and descrambling assisted by the online training with the SPDG algorithm.Moreover,we apply the on-chip processor configured by the SPGD algorithm to optical communications for optical switching and efficiently mitigating the channel crosstalk in SDM systems.In comparison with the traditional GD al-gorithm,it is found that the SPGD algorithm features better performance especially when the scale of matrix is large,which means it has the potential to optimize large-scale optical matrix computation acceleration chips.

optical communicationsoptical signal processingchannel descramblingoptical neural network chipsilicon photonics

Yuanjian Wan、Xudong Liu、Guangze Wu、Min Yang、Guofeng Yan、Yu Zhang、Jian Wang

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Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan 430074,China

Optics Valley Laboratory,Wuhan 430074,China

National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)Natural Science Foundation of Hubei Province of ChinaInnovation Project of Optics Valley Laboratory

62125503622611603882023AFA028OVL2021BG004

2024

10.29026/oea.2024.230182

光电进展(英文版)

光电进展(英文版)

EI
ISSN：
年,卷(期)：2024.7(4)