All-optical combinational logical units featuringfifth-order cascade  

作　　者：Haiqi Gao Yu Shao Yipeng Chen Junren Wen Yuchuan Shao Yueguang Zhang Weidong Shen Chenying Yang 

机构地区：[1]Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China [2]State key Laboratory of Modern Optical Instrumentation,Department of Optical Engineering,Zhejiang University,Hangzhou 310027,China [3]Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China [4]Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Chip》2024年第4期43-52,共10页芯片(英文)

基　　金：supported by Research Funds of Hangzhou Hangzhou Institute for Advanced Study,UAS(No.2023HIAS-Y008).

摘　　要：Modern computational technologies are gradually encounteringsignificant limitations, driving a shift toward alternative paradigms such as optical computing. In this study, novel all-opticalcombinational logic units based on diffractive neural networks(D2NNs) were introduced, which were designed to perform highorder logical operations efficiently and swiftly with the adoptionof only two modulation layers. This innovative design exhibitsincreased processing speed, improved energy efficiency, robustenvironmental stability, and high error tolerance, making itexceptionally well-suited for a broad spectrum of applications inoptical computing and communications. By leveraging thetransfer learning, we successfully developed a fifth-ordercascaded combinational logic circuit for a practical informationtransmission system. Furthermore, we revealed a pioneeringapplication of the device in optical time division multiplexing(OTDM), demonstrating its capability to manage high-speeddata transfer seamlessly without the need for electronic conversion. Extensive simulations and experimental validationsdemonstrate the potential of the model as a foundational technology for future optical computing architectures, which pavesthe way toward more sustainable and efficient optical dataprocessing platforms.

关 键 词：Diffractive neural networks Logical operations Optical time division multiplexing Optical computing 

分 类 号：TN9[电子电信—信息与通信工程]