Electrically programmable phase-change photonic memory for optical neural networks with nanoseconds in situ training capability-Reference-Cited by-同舟云学术

Electrically programmable phase-change photonic memory for optical neural networks with nanoseconds in situ training capability

Published:2023-07-18 Issue:04 Volume:5 Page:
ISSN:2577-5421
Container-title:Advanced Photonics
language:
Short-container-title:Adv. Photon.

Author:

Wei Maoliang¹,Li Junying¹,Chen Zequn²,Tang Bo³,Jia Zhiqi¹,Zhang Peng³,Lei Kunhao¹,Xu Kai¹,Wu Jianghong²,Zhong Chuyu¹,Ma Hui¹,Ye Yuting²,Jian Jialing²,Sun Chunlei²,Liu Ruonan³,Sun Ying¹,Sha Wei. E. I.¹,Hu Xiaoyong⁴,Yang Jianyi¹,Li Lan²,Lin Hongtao¹

Affiliation:

1. Zhejiang University, College of Information Science and Electronic Engineering, State Key Laboratory of Modern Optical Instrumentation, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, Hangzhou, China

2. Westlake University, School of Engineering, Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, Hangzhou, China

3. Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China

4. Peking University, School of Physics, Frontiers Science Center for Nano-optoelectronics, State Key Laboratory for Mesoscopic Physics, Beijing, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference59 articles.

1. Deep Learning in Mobile and Wireless Networking: A Survey

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3. Deep learning in computer vision: A critical review of emerging techniques and application scenarios

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5. Photonic matrix multiplication lights up photonic accelerator and beyond

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