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作 者:DIANZHUANG ZHENG SHUIYING XIANG XINGXING GUO YAHUI ZHANG BILING GU HONGJI WANG ZHENZHEN XU XIAOJUN ZHU YUECHUN SHI YUE HAO
机构地区:[1]State Key Laboratory of Integrated Service Networks,Xidian University,Xi'an 710071,China [2]State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology,School of Microelectronics,Xidian University,Xi'an 710071,China [3]Key Laboratory of Intelligent Optical Sensing and Manipulation,Ministry of Education,National Laboratory of Solid State Microstructures,College of Engineering and Applied Sciences,Institute of Optical Communication Engineering,Nanjing University,Nanjing 210023,China [4]School of Information Science and Technology,Nantong University,Nantong 226019,China [5]Yongjiang Laboratory,Ningbo 315202,China
出 处:《Photonics Research》2023年第1期65-71,共7页光子学研究(英文版)
基 金:National Key Research and Development Program of China(2021YFB2801900,2021YFB2801901,2021YFB2801902,2021YFB2801904);National Natural Science Foundation of China(61974177,61674119);Outstanding Youth Science Fund of National Natural Science Foundation of China(62022062);Fundamental Research Funds for the Central Universities(JB210114)。
摘 要:As Moore’s law has reached its limits,it is becoming increasingly difficult for traditional computing architectures to meet the demands of continued growth in computing power.Photonic neural computing has become a promising approach to overcome the von Neuman bottleneck.However,while photonic neural networks are good at linear computing,it is difficult to achieve nonlinear computing.Here,we propose and experimentally demonstrate a coherent photonic spiking neural network consisting of Mach–Zehnder modulators(MZMs)as the synapse and an integrated quantum-well Fabry–Perot laser with a saturable absorber(FP-SA)as the photonic spiking neuron.Both linear computation and nonlinear computation are realized in the experiment.In such a coherent architecture,two presynaptic signals are modulated and weighted with two intensity modulation MZMs through the same optical carrier.The nonlinear neuron-like dynamics including temporal integration,threshold,and refractory period are successfully demonstrated.Besides,the effects of frequency detuning on the nonlinear neuron-like dynamics are also explored,and the frequency detuning condition is revealed.The proposed hardware architecture plays a foundational role in constructing a large-scale coherent photonic spiking neural network.
分 类 号:TN248[电子电信—物理电子学]
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