7 papers
Fiber Nonlinearity Compensation of Coherent Signals Using Deep Photonic Reservoir Computer
Yi-Wei Shen, Rui-Qian Li, Zheng-Can Sun +4
Photonic reservoir computer (PRC) is a promising optical computing framework for high-speed optical signal processing, and various reports have shown its functionality of linear eq…
Deep Photonic Reservoir Computer Meets UAV Control: An ultra-fast learning-based compensator for agile flight in confined space
Qinxiao Ma, Ruiqian Li, Cheng Wang +1
Unmanned aerial vehicles (UAVs) operating in confined, cluttered environments face significant performance degradation due to nonlinear, time-varying unmodeled dynamics-such as gro…
20-GHz bandwidth optical activation function based on a semiconductor laser
Hai-Fei Guo, Zheng-Can Sun, Yi-Wei Shen +3
Optical neural networks usually execute the linear multiply-accumulate operation in the optical domain, whereas the nonlinear activation function is mostly implemented in the digit…
Deep photonic reservoir computer for nonlinear equalization of 16-level quadrature amplitude modulation signals
Rui-Qian Li, Yi-Wei Shen, Zekun Niu +5
Photonic reservoir computer (PRC) is a kind of real-time and adaptive recurrent neural network, where only weights in the readout layer require training. PRC is a promising tool to…
Optical ReLU-like Activation Function Based on a Semiconductor Laser with Optical Injection
Guanting Liu, Yiwei Shen, Ruiqian Li +3
Artificial neural networks usually consist of successive linear multiply-accumulate operations and nonlinear activation functions. However, most optical neural networks only achiev…
Deep photonic reservoir computing recurrent network
Cheng Wang
Deep neural networks usually process information through multiple hidden layers. However, most hardware reservoir computing recurrent networks only have one hidden reservoir layer,…
Scalable wavelength-multiplexing photonic reservoir computing
Rui-Qian Li, Yi-Wei Shen, Bao-De Lin +3
Photonic reservoir computing (PRC) is a special hardware recurrent neural network, which is featured with fast training speed and low training cost. This work shows a wavelength-mu…