3 papers
quant-ph2026
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…
cs.LG2026
From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
Yanjie Tong, Peng Chen
Reconstructing high-dimensional spatiotemporal fields from sparse point-sensor measurements is a central challenge in learning parametric PDE dynamics. Existing approaches often st…
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…