12 papers
Edge-Enhanced Diffractive Neural Networks Based on Spin-Multiplexed Nonlocal Metasurfaces
Qianqian He, Kenan Guo, Jumin Qiu +2
Single-layer diffractive neural networks often face classification accuracy bottlenecks due to limited wavefront modulation capabilities. Edge detection, as an optical image proces…
Omnidirectional photonic chiral flatband in nonlocal membrane metasurfaces
Baohe Zhang, Jumin Qiu, Meng Qin +7
Omnidirectional flat-band resonances, characterized by an enhanced photonic density of states and inherent angular robustness, are highly sought-after in integrated nanophotonic de…
Flat optics for analog computing: from fundamental mechanisms to advanced meta-processors
Tingting Liu, Jumin Qiu, Xintong Shi +2
As the explosive growth of visual data increasingly strains the latency and energy limits of conventional electronic computing, optical analog computing has re-emerged as a disrupt…
Doubly resonant nonlinear metasurfaces enabling NIR-to-UV upconversion for reconfigurable Fourier optical processing
Jumin Qiu, Meibao Qin, Tingting Liu +6
Fourier optical processing underpins optical information manipulation, yet extending such operations to short wavelengths within compact platforms remains challenging. Here, we add…
Metasurface-based all-optical diffractive convolutional neural networks
Zhijiang Liang, Chenxuan Xiang, Shuyuan Xiao +5
The escalating energy demands and parallel-processing bottlenecks of electronic neural networks underscore the need for alternative computing paradigms. Optical neural networks, ca…
High-efficiency infrared upconversion imaging with nonlinear silicon metasurfaces empowered by quasi-bound states in the continuum
Tingting Liu, Jumin Qiu, Meibao Qin +6
Infrared imaging is indispensable for its ability to penetrate obscurants and visualize thermal signatures, yet its practical use is hindered by the intrinsic limitations of conven…