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quant-ph2026
Self-Supervised Learning with Noisy Dataset for Rydberg Microwave Sensors Denoising
Zongkai Liu, Qiming Ren, Wenguang Yang +11
We report a self-supervised deep learning framework for Rydberg sensors that enables single-shot noise suppression matching the accuracy of multi-measurement averaging. The framewo…
quant-ph2025
Reactive near-field subwavelength microwave imaging with a non-invasive Rydberg probe
Chaoyang Hu, Mingyong Jing, Zongkai Liu +10
Non-invasive microwave field imaging--accurately mapping field distributions without perturbing them--is essential in areas such as aerospace engineering, biomedical imaging and in…