Presentation Information

[WG3-1]Phase-change Photonic Memory for Optical Neural Networks with Nanoseconds in-situ Training Capability

○Kai Xu1, Maoliang Wei1, Junying Li2, Bo Tang3, Yiting Yun1, Weiquan Wang1, Lan Li4,5, ○Hongtao Lin1 (1Zhejiang Univ., 2Univ. of Chinese Academy of Sciences, 3Chinese Academy of Sciences, 4Westlake Univ., 5Westlake Institute for Advanced Study)
Electrically programmable photonic memory based on Sb2Se3 integrated with PIN-diode silicon waveguide heaters were proposed and fabricated. The novel memory devices allow fast in-situ training and zero-static-power-consumption data processing in optical neural networks.