4 papers · 1 filter
Stochastic Liouville-transport theory of light-atom interaction noise in thermal atomic vapors
Shaoxin Yuan, Bin Wu, Mingyong Jing +11
Atom-light interaction noise can limit thermal-vapor sensing. Existing theories often treat internal-state dynamics, finite-mode atomic motion, and stochastic renewal separately, o…
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…
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…
Time series learning in a many-body Rydberg system with emergent collective amplification
Zongkai Liu, Qiming Ren, Chris Nill +12
Interacting Rydberg atoms constitute a versatile platform for the realization of non-equilibrium states of matter. Close to phase transitions, they respond collectively to external…