摘要
基于电流调制和光注入共同作用下的带有饱和吸收体的垂直腔面发射激光器(VCSEL-SA),提出了一种可重构的光电逻辑门(NOT,NAND,NOR,XOR),数值研究了电流调制下VCSEL-SA的spiking动力学特性,及电流调制下光注入VCSEL-SA的逻辑运算性能。研究结果表明,对于电流调制下的光注入VCSEL-SA,光电逻辑门可以在一定的偏置电流范围内实现。通过选取合适的调制电流,可以实现重构的逻辑运算(NAND,NOR),且两个调制信号之间的时延对逻辑运算性能影响较小。通过改变电流调制信号的输入方式并移除光注入信号,VCSEL-SA可以实现XOR逻辑运算。此外,基于电流调制下光注入VCSEL-SA的可重构逻辑运算对噪声有较好的容忍性。研究结果可为未来光子神经网络解决复杂的信号处理任务提供一定的理论基础。
With the rapid development of society,modern technologies such as artificial intelligence,the Internet,multimedia,5G communication,and big data services have been widely used in national production and daily life.Moreover,the demand for computing power in the whole society is increasing at a rate of at least 20% every year,which brings unprecedented challenges to the computing power of present computing systems.At present,the traditional Von Neumann architecture based on the separation of storage and computing has encountered bottlenecks including storage,computing speed,power consumption,etc.In addition,Moore′s Law has also encountered bottlenecks due to the limitations of CMOS technology,and the development of integrated circuits has entered into a post-Moore era.Consequently,the research and development of artificial neural networks have attracted much attention,and photonic neural networks based on silicon-based electronic devices or optical devices have become the focus issue.Photonic neural networks can overcome the limitations of the von Neumann architecture and have the advantages of low power consumption and high speed when dealing with complex artificial intelligence tasks,which can provide a new feasible solution for solving complex problems such as decisionmaking,deep learning and optimization,pattern recognition,and perceptual information processing.In recent years,photonic neural networks have become a research hotspot due to their obvious advantages over traditional electronic methods in terms of speed and energy efficiency.As a result,neuromorphic photonic devices have attracted extensive attention.Amongst of them,semiconductor lasers have become an ideal artificial neuron due to similar response behavior to biological neuron and ultrafast response speed.In particular,VCSELs possess these advantages of small size,low power consumption,low cost,and high coupling efficiency with optical fibers.Therefore,exploring the nonlinear dynamic behaviors of VCSEL and their applications in these fields relat
作者
肖路遥
唐曦
林晓东
高子叶
段志飞
杜潇睿
夏光琼
吴正茂
邓涛
XIAO Luyao;TANG Xi;LIN Xiaodong;GAO Ziye;DUAN Zhifei;DU Xiaorui;XIA Guangqiong;WU Zhengmao;DENG Tao(School of Physical Science and Technology,Southwest University,Chongqing 400715,China;Chongqing Key Laboratory of Micro&Nano Structure Optoelectronics,Chongqing 400715,China)
出处
《光子学报》
EI
CAS
CSCD
北大核心
2022年第11期153-165,共13页
Acta Photonica Sinica
基金
国家自然科学基金(No.61875167)
重庆市自然科学基金面上项目(No.cstc2019jcyj-msxmX0136)
重庆市教委科学与技术研究重点项目(No.KJZD-K202100204)。