4 papers
Learning high-dimensional quantum entanglement through physics-guided neural networks
Yang Xu, Hao Zhang, Wenwen Zhang +4
High-gain spontaneous parametric down-conversion (SPDC) produces bright squeezed vacuum with rich high-dimensional entanglement, but its output is inherently multimodal and non-per…
Physics-Informed Untrained Learning for RGB-Guided Superresolution Single-Pixel Hyperspectral Imaging
Hao Zhang, Bilige Xu, Lichen Wei +2
Single-pixel imaging (SPI) offers a cost-effective route to hyperspectral acquisition but struggles to recover high-fidelity spatial and spectral details under extremely low sampli…
Universal Quantum Interconnects via Phase-Coherent Four-Wave Mixing
Hao Zhang, Yang Xu, Linshan Sun +3
Quantum transduction, which enables the coherent conversion of quantum information between disparate physical platforms, is a cornerstone for realizing scalable and interoperable q…
Hybrid Deep Reconstruction for Vignetting-Free Upconversion Imaging through Scattering in ENZ Materials
Hao Zhang, Yang Xu, Wenwen Zhang +10
Optical imaging through turbid or heterogeneous environments (collectively referred to as complex media) is fundamentally challenged by scattering, which scrambles structured spati…