Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

2022 Optical Fiber Communications Conference and Exhibition (OFC)(2022)

引用 4|浏览2
暂无评分
摘要
We experimentally compare simple physics-based vs. data-driven neural-network-based models for offline training of programmable photonic chips using Mach-Zehnder interferometer meshes. The neural-network model outperforms physics-based models for a chip with thermal crosstalk, yielding increased testing accuracy. © 2021 The Author(s)
更多
查看译文
关键词
programmable photonic chips,Mach-Zehnder interferometer meshes,physics-based models,training optical matrix multipliers,data-driven neural-network-based models,offline training,thermal crosstalk,neuromorphic photonic integrated circuit
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要