Prof. Lei Wang Profile

Prof. Lei Wang

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Proceedings Article | 23 January 2023 Paper

Ge2Sb2Se4Te1-based optical switching with directional coupler structure used for all-optical synapse

Jinghao Yu, Pengfei Ye, Ding Chen, Youshan Gui, Yi Tong, Lei Wang, Xiaoyan Liu

Proceedings Volume 12556, 125561S (2023) https://doi.org/10.1117/12.2651761

KEYWORDS: Waveguides, Directional couplers, Silicon, Photonics, Neurons, Computing systems, Signal processing, Optical switching

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In the context of the rapid development of information society, the mainstream von Neumann computing systems have bottlenecks in power consumption and computational efficiency, which restricts the development of artificial intelligence with massive data as the core. Neuromorphic computing which follows the working mode of the human brain breaks through this bottleneck. However, with the increasing demand for the amount of data processed by the computing systems, the computation of electrical neurons and synapses based on electrical signals fails to meet the demand gradually. At this time, the emergence of neuromorphic computing in the field of photonics is expected to solve this problem. In this paper, an all-optical synaptic directional coupler based on phase change material Ge₂Sb₂Se₄Te₁ (GSST) is proposed. The coupler controls the coupling length of the two waveguides by applying a 1200 nm laser pulse and changing the number of crystal GSST islands in the hybrid waveguide to achieve weight variation. The switching energy consumption of the GSST optical-switch is only 0.025 nJ, and the corresponding switching speed reaches the nanosecond level. The functions of long-term enhancement (LTP) and long-term suppression (LTD) based on GSST optical synapse can be realized simultaneously, providing new ideas for future low-power non-volatile photonic integration.

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