194 citations · 609 across the 9 of their papers we have counts for
9 papers
Neuromorphic computing using wavelength-division multiplexing
Xingyuan Xu, Weiwei Han, Mengxi Tan +7
Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the potential to dramatically enhance the computing power and energy efficiency of mainstream el…
Principle-driven Fiber Transmission Model based on PINN Neural Network
Yubin Zang, Zhenming Yu, Kun Xu +4
In this paper, a novel principle-driven fiber transmission model based on physical induced neural network (PINN) is proposed. Unlike data-driven models which regard fiber transmiss…
Microwave Photonic Ising Machine
Qizhuang Cen, Tengfei Hao, Hao Ding +5
Ising machines based on analog systems have the potential of acceleration in solving ubiquitous combinatorial optimization problems. Although some artificial spins to support large…
Switching dynamics of reconfigurable perfect soliton crystals in dual-coupled microresonators
Zhonghan Wu, Yiran Gao, Jian Dai +2
Dual-coupled structure is typically used to actively change the local dispersion of microresonator through controllable avoided mode crossings (AMXs). In this paper, we investigate…
Efficient training and design of photonic neural network through neuroevolution
Tian Zhang, Jia Wang, Yihang Dan +5
Recently, optical neural networks (ONNs) integrated in photonic chips has received extensive attention because they are expected to implement the same pattern recognition tasks in…
Machine learning and evolutionary algorithm studies of graphene metamaterials for optimized plasmon-induced transparency
Tian Zhang, Qi Liu, Yihang Dan +4
Machine learning and optimization algorithms have been widely applied in the design and optimization for photonic devices. In this article, we briefly review recent progress of thi…
Intelligent optical performance monitor using multi-task learning based artificial neural network
Zhiquan Wan, Zhenming Yu, Liang Shu +3
An intelligent optical performance monitor using multi-task learning based artificial neural network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format id…
Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks
Tian Zhang, Jia Wang, Qi Liu +6
In this article, we propose a novel approach to achieve spectrum prediction, parameter fitting, inverse design and performance optimization for the plasmonic waveguide coupled with…
Frequency-oriented sub-sampling by photonic Fourier transform and I/Q demodulation
Wenhui Hao, Yitang Dai, Feifei Yin +5
Sub-sampling can acquire directly a passband within a broad radio frequency (RF) range, avoiding down-conversion and low-phase-noise tunable local oscillation (LO). However, sub-sa…