18 citations · 29 across the 8 of their papers we have counts for
8 papers
Inverse-designed meta processing units for multi-task near-field photonic computing
Chu Wu, Zeyu Cai, Songtao Yang +5
Integrated photonic neural networks require optical operators that are simultaneously compact, matrix-general and compatible with task-level reconfigurability. Here we introduce a…
3D aperture-engineered diffractive neural networks for super-resolution electromagnetic wave computing
Sheng Gao, Songtao Yang, Haiou Zhang +2
The rapid progress in 6G communication and high-bandwidth radar has driven an unprecedented surge in the spatial density of signal sources, resulting in an increasingly congested e…
Meta-training of diffractive meta-neural networks for super-resolution direction of arrival estimation
Songtao Yang, Sheng Gao, Chu Wu +3
Diffractive neural networks leverage the high-dimensional characteristics of electromagnetic (EM) fields for high-throughput computing. However, the existing architectures face cha…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Super-resolution imaging using super-oscillatory diffractive neural networks
Hang Chen, Sheng Gao, Zejia Zhao +4
Optical super-oscillation enables far-field super-resolution imaging beyond diffraction limits. However, the existing super-oscillatory lens for the spatial super-resolution imagin…
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units
Tao Yan, Maoqi Zhang, Sen Wan +5
Electroencephalography (EEG) analysis extracts critical information from brain signals, which has provided fundamental support for various applications, including brain-disease dia…
Dual adaptive training of photonic neural networks
Ziyang Zheng, Zhengyang Duan, Hang Chen +5
Photonic neural network (PNN) is a remarkable analog artificial intelligence (AI) accelerator that computes with photons instead of electrons to feature low latency, high energy ef…
Optical Neural Ordinary Differential Equations
Yun Zhao, Hang Chen, Min Lin +5
Increasing the layer number of on-chip photonic neural networks (PNNs) is essential to improve its model performance. However, the successively cascading of network hidden layers r…