基于VCSELs的全光类脑计算系统理论及关键技术探索

批准号:
61974177
项目类别:
面上项目
资助金额:
59.0 万元
负责人:
项水英
依托单位:
学科分类:
半导体光电子器件与集成
结题年份:
2023
批准年份:
2019
项目状态:
已结题
项目参与者:
项水英
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中文摘要
类脑计算与传统的冯诺依曼体系架构相比,具有颠覆性创新,近年来成为全球前沿科研领域。全光类脑计算因其高速及低功耗等优势吸引了高度关注。然而,在光域实现类神经元的脉冲编码、类神经元的抑制动力学响应以及具备可塑性的光子突触仍然是挑战性难题。.本项目拟开展基于VCSEL的全光类脑计算系统探索研究。基于非线性动力学和分岔理论,揭示脉冲光注入VCSEL的偏振动力学演化规律,实现光子神经元的脉冲编码;提出基于含饱和吸收区VCSEL的抑制型光子神经元新方案,揭示偏振模竞争对抑制动力学的调控机制;提出并实现基于VCSEL偏振模竞争和载流子恢复动力学的可塑性光子突触新方案;建立基于VCSEL的全光脉冲神经元网络的统一理论模型及实验平台;探索光子脉冲序列的模式识别等全光类脑计算应用,为未来建立大规模全光脉冲神经网络奠定基础。本项目有助于推动半导体激光器与类脑计算的交叉研究,对提高类脑计算的速度具有重要意义。
英文摘要
Compared with the traditional von-Neumann architecture, brain-like computing is a disruptive computing paradigm, and has become a global frontier research field in recent years. All-optical brain-like computing has also attracted many attentions due to its advantages of high speed and low power consumption. However, in the optical domain, it still remains challenging to realize neuron-like spike coding, neuron-like inhibitory response dynamics as well as photonic synapses with plasticity..This project intends to carry out the research on fully-VCSELs-based all-optical brain-like computing systems. Based on the nonlinear dynamics and bifurcation theory, the evolution of polarization dynamics of VCSEL with pulsed optical injection is revealed, and then the spike coding in the photonic neuron based on VCSEL is realized. Besides, we propose to realize the inhibitory response dynamics in a VCSEL with saturable absorber region, and reveal the effects of polarization mode competition on the inhibitory dynamics. Furthermore, based on the polarization mode competition and carrier recovery dynamics in a single VCSEL, we provide a novel scheme to obtain a photonic synapse with plasticity. Additionally, we tend to build a unified computational theoretical model of all-optical spiking neural network solely with VCSELs and perform the proof-in-principle experiment. At last, we explore the all-optical brain-like computing applications such as pattern recognition of photonic spike sequences, which plays fundamental role in the establishment of large-scale all-optical spiking neural network in the future. This project is helpful to promote the interdisciplinary research of semiconductor lasers and brain-like computing, and is of great significance to improve the speed of brain-like computing.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
DOI:10.1109/jqe.2023.3292064
发表时间:2023-10
期刊:IEEE Journal of Quantum Electronics
影响因子:2.5
作者:Qian Yu;S. Xiang;Xingxing Guo;Ya Hui Zhang;Biling Gu;Yanan Han;Z. Song;Yue Hao
通讯作者:Qian Yu;S. Xiang;Xingxing Guo;Ya Hui Zhang;Biling Gu;Yanan Han;Z. Song;Yue Hao
DOI:10.1109/jlt.2020.3023451
发表时间:2021-01
期刊:Journal of Lightwave Technology
影响因子:4.7
作者:Xingxing Guo;S. Xiang;Yan Qu;Yanan Han;A. Wen;Y. Hao
通讯作者:Xingxing Guo;S. Xiang;Yan Qu;Yanan Han;A. Wen;Y. Hao
DOI:10.3788/gzxb20215010.1020002
发表时间:2021
期刊:光子学报
影响因子:--
作者:郭星星;项水英;张雅慧;郝跃
通讯作者:郝跃
DOI:10.1364/oe.487047
发表时间:2023-05-08
期刊:OPTICS EXPRESS
影响因子:3.8
作者:Zhang,Yahui;Xiang,Shuiying;Hao,Yue
通讯作者:Hao,Yue
DOI:10.1088/1674-4926/42/2/023105
发表时间:2021-02
期刊:Journal of Semiconductors
影响因子:5.1
作者:S. Xiang;Yanan Han;Z. Song;Xingxing Guo;Yahui Zhang;Z. Ren;Suhong Wang;Yuanting Ma;Weiwen Zo
通讯作者:S. Xiang;Yanan Han;Z. Song;Xingxing Guo;Yahui Zhang;Z. Ren;Suhong Wang;Yuanting Ma;Weiwen Zo
全光类脑计算与光脉冲神经网络
- 批准号:--
- 项目类别:优秀青年科学基金项目
- 资助金额:120万元
- 批准年份:2020
- 负责人:项水英
- 依托单位:
面向光子神经形态系统的半导体激光器网络动力学及同步调控研究
- 批准号:61674119
- 项目类别:面上项目
- 资助金额:60.0万元
- 批准年份:2016
- 负责人:项水英
- 依托单位:
面向复杂网络的半导体激光器混沌动力学及同步特性研究
- 批准号:61306061
- 项目类别:青年科学基金项目
- 资助金额:25.0万元
- 批准年份:2013
- 负责人:项水英
- 依托单位:
国内基金
海外基金
