Teo Ting Yu, Ma Xiaoxuan, Pastor Ernest, Wang Hao, George Jonathan K, Yang Joel K W, Wall Simon, Miscuglio Mario, Simpson Robert E, Sorger Volker J
Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore.
Deptartment of Electrical and Computer Engineering, George Washington University, Washington, DC, USA.
Nanophotonics. 2022 May 25;11(17):4073-4088. doi: 10.1515/nanoph-2022-0099. eCollection 2022 Sep.
We demonstrate a passive all-chalcogenide all-optical perceptron scheme. The network's nonlinear activation function (NLAF) relies on the nonlinear response of GeSbTe to femtosecond laser pulses. We measured the sub-picosecond time-resolved optical constants of GeSbTe at a wavelength of 1500 nm and used them to design a high-speed GeSbTe-tuned microring resonator all-optical NLAF. The NLAF had a sigmoidal response when subjected to different laser fluence excitation and had a dynamic range of -9.7 dB. The perceptron's waveguide material was AlN because it allowed efficient heat dissipation during laser switching. A two-temperature analysis revealed that the operating speed of the NLAF is ns. The percepton's nonvolatile weights were set using low-loss SbS-tuned Mach Zehnder interferometers (MZIs). A three-layer deep neural network model was used to test the feasibility of the network scheme and a maximum training accuracy of 94.5% was obtained. We conclude that combining SbS-programmed MZI weights with the nonlinear response of GeSbTe to femtosecond pulses is sufficient to perform energy-efficient all-optical neural classifications at rates greater than 1 GHz.
我们展示了一种无源全硫族化物全光感知器方案。该网络的非线性激活函数（NLAF）依赖于GeSbTe对飞秒激光脉冲的非线性响应。我们测量了GeSbTe在1500 nm波长下的亚皮秒时间分辨光学常数，并利用它们设计了一个高速GeSbTe调谐微环谐振器全光NLAF。当受到不同激光能量密度激发时，该NLAF具有S形响应，动态范围为-9.7 dB。感知器的波导材料是AlN，因为它在激光开关过程中允许高效散热。双温度分析表明，NLAF的运行速度为纳秒级。感知器的非易失性权重使用低损耗SbS调谐马赫曾德尔干涉仪（MZI）设置。使用三层深度神经网络模型测试了该网络方案的可行性，获得了94.5%的最大训练准确率。我们得出结论，将SbS编程的MZI权重与GeSbTe对飞秒脉冲的非线性响应相结合，足以以大于1 GHz的速率执行节能全光神经分类。
