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21 December 2023 Non-volatile and ultra-fast photonic vector accelerator with optical phase change materials and integrated microcomb
Yuanyun Wang, Lehan Zhao, Qingsong Bai, Jin Deng, Zihan Shen, Haitang Li, Zhengmao Wu, Jiagui Wu, Guangqiong Xia
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Proceedings Volume 12966, AOPC 2023: AI in Optics and Photonics ; 1296623 (2023) https://doi.org/10.1117/12.3007875
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
Convolutional neural network (CNN) has attracted widespread attention in image feature extraction and speech recognition owing to greatly reducing the complexity of model parameters and the number of weights, but it cannot be separated from the support of hardware accelerator. The limitations of electronic devices in terms of power, speed, and size make it difficult for current electron accelerators to meet the computational power requirements of future large-scale convolution operations. Here, we proposed a photonic vector architecture. This structure combines time, space and wavelength, and the non-volatile phase change material and the integrated microcomb form an optical matrix multiplier to realize memory calculation, thus reducing the energy consumption of reading weight data. The tooth spacing of the integrated microcomb is more than 100 GHz, and the microcomb coverage is from 1510 nm to 1610 nm. Finally, we replace the weight values in the CNN with the optimal weight values that the optics can achieve. The final recognition accuracy reached 97.04%, which is comparable to the efficiency of the first electronic equipment. Our results could be helpful for the development of non-volatile and ultra-fast optical neural network (ONN) with feathers of low energy consumption and high integration.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yuanyun Wang, Lehan Zhao, Qingsong Bai, Jin Deng, Zihan Shen, Haitang Li, Zhengmao Wu, Jiagui Wu, and Guangqiong Xia "Non-volatile and ultra-fast photonic vector accelerator with optical phase change materials and integrated microcomb", Proc. SPIE 12966, AOPC 2023: AI in Optics and Photonics , 1296623 (21 December 2023); https://doi.org/10.1117/12.3007875
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KEYWORDS
Convolution
Integrated optics
Ultrafast phenomena
Modulation
Neural networks
Power consumption
Image processing
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