6 papers
Advantages of Broadband Metalenses for Generalizable Image Classification
Yubo Zhang, Johannes Fröch, Jinlin Xiang +6
Optical neural networks (ONNs) are gaining increasing attention to accelerate machine learning tasks. In particular, static meta-optical encoders designed for task-specific pre-pro…
Learned split-spectrum metalens for obstruction-free broadband imaging in the visible
Seungwoo Yoon, Dohyun Kang, Eunsue Choi +9
Obstructions such as raindrops, fences, or dust degrade captured images, especially when mechanical cleaning is infeasible. Conventional solutions to obstructions rely on a bulky c…
All-Dielectric Metasurface with a Two-Dimensional Locally Flat Photonic Band
Minho Choi, Christopher Munley, Virat Tara +4
Photonic flatbands offer promising light-matter interaction due to their unique slow-light nature. In recent years, flatbands have also attracted significant interest in optical en…
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
Jinlin Xiang, Minho Choi, Yubo Zhang +3
Hybrid Optical Neural Networks (ONNs, typically consisting of an optical frontend and a digital backend) offer an energy-efficient alternative to fully digital deep networks for re…
Opportunities and Challenges of Solid-State Quantum Nonlinear Optics
Abhinav Kala, David Sharp, Minho Choi +7
Nonlinear interactions between single quantum particles are at the heart of any quantum information system, including analog quantum simulation and fault-tolerant quantum computing…
Transferable polychromatic optical encoder for neural networks
Minho Choi, Jinlin Xiang, Anna Wirth-Singh +3
Artificial neural networks (ANNs) have fundamentally transformed the field of computer vision, providing unprecedented performance. However, these ANNs for image processing demand…