桥接(联网)
光子学
硅光子学
光子集成电路
计算机科学
电子线路
电子工程
计算机体系结构
工程类
光电子学
电气工程
材料科学
计算机网络
作者
Zahra Ghanaatian,Asif Mirza,Amin Shafiee,Sudeep Pasricha,Mahdi Nikdast
出处
期刊:
日期:2025-01-20
卷期号:: 128-134
被引量:3
标识
DOI:10.1145/3658617.3703151
摘要
Silicon photonic devices are essential components of integrated optical communication systems and emerging photonic processors. However, their performance is notably impacted by fabrication-process variations (FPVs), which primarily stem from optical lithography imperfections. The impact of FPVs can accumulate and deteriorate the system-level performance through, for example, increasing system power consumption, accumulated crosstalk noise, and degrading signal integrity in photonic systems. In this paper, we discuss the promise of variation-aware design-space exploration and optimization to enhance photonic device robustness under different FPVs while considering two silicon photonic devices used widely in different applications, namely Microring Resonators (MRRs) and Mach-Zehnder Interferometers (MZIs). In addition, we consider a system-level case study of an MZI-based coherent neural network, where we show how our proposed variation-aware design optimization at the device level helps improve the network accuracy by up to 88% under FPVs.
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