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作 者:Xiangyan Meng Nuannuan Shi Guojie Zhang Junshen Li Ye Jin Shiyou Sun Yichen Shen Wei Li Ninghua Zhu Ming Li
机构地区:[1]Key Laboratory of Optoelectronic Materials and Devices,Institute of Semiconductors,Chinese Academy of Sciences,Beijing,100083,China [2]College of Materials Science and Opto-Electronic Technology,University of Chinese Academy of Sciences,Beijing,100049,China [3]School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing,100049,China [4]China Academy of Space Technology(Xi’an),Xi’an,Shaanxi,710100,China [5]WeChat Pay Lab 33,Shenzhen Tencent Computer System Co.Ltd.,Shenzhen,518054,China [6]Lightelligence Group,Hangzhou,311121,China
出 处:《Light(Science & Applications)》2025年第1期227-237,共11页光(科学与应用)(英文版)
基 金:supported by the Youth Innovation Promotion Association of Chinese Academy of Sciences under grant no.2022111(N.S.);the International Partnership Program of Chinese Academy of Sciences under grant no.100GJHZ2022028GC(M.L.);the Beijing Municipal Natural Science Foundation under grant no.Z210005(M.L.);the National Natural Science Foundation of China under grant nos.61925505(M.L.),62235011(N.S.)and 62075212(N.S.).
摘 要:The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware.Benefiting from the available optical multidimensional information entropy,optical intelligent computing is used as an alternative solution to address the emerging challenges of electrical computing.These limitations,in terms of device size and photonic integration scale,have hindered the performance of optical chips.Herein,an ultrahigh computing density optical tensor processing unit(OTPU),which is grounded in an individual microring resonator(MRR),is introduced to respond to these challenges.Through the independent tuning of multiwavelength lasers,the operational capabilities of an MRR are orchestrated,culminating in the formation of an optical tensor core.This design facilitates the execution of tensor convolution operations via the lightwave and microwave multidomain hybrid multiplexing in terms of the time,wavelength,and frequency of microwaves.The experimental results for the MRR-based OTPU show an extraordinary computing density of 34.04 TOPS/mm2.Additionally,the achieved accuracy rate in recognizing MNIST handwritten digits was 96.41%.These outcomes signify a significant advancement toward the realization of high-performance optical tensor processing chips.
分 类 号:TN710[电子电信—电路与系统]
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