activity
20232026
most citedContinuous field tracking with machine learning and steady state spin squeezing

15 citations · 53 across the 22 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

quant-ph2026

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…

quant-ph2026

Single-sideband-interference twin-field quantum key distribution without global phase locking

Xingjian Li, Bingkun Wang, Jianyong Hu +10

Twin-field quantum key distribution (TF QKD) can overcome the fundamental rate loss limit of repeaterless quantum links, but its practical deployment has long been hindered by the…

cond-mat.quant-gas2026

Observation of interaction-induced fast Thouless pumping of solitons

Yuqing Li, Jinxiong Jia, Yunfei Wang +7

Thouless pumping provides a paradigmatic platform for studying the effects of interactions on topological transport in periodically driven systems. However, most studies have been…

quant-ph2026

Quantum compressed sensing

Jianyong Hu, Wei Li, Shuxiao Wu +12

How many measurements are fundamentally required to capture a signal. Shannon's information theory established the bedrock of this question in 1948, the Nyquist Shannon theorem set…

quant-ph2026

Quantum Compressed Sensing Enables Image Classification with a Single Photon

Yanshan Fan, Jianyong Hu, Shuxiao Wu +9

Image classification is a core task of intelligent sensing, conventionally follows a sequential imaging then processing pipeline. However, redundant high-dimensional image reconstr…

cs.SE2026

The Specification as Quality Gate: Three Hypotheses on AI-Assisted Code Review

Christo Zietsman

The dominant industry response to AI-generated code quality problems is to deploy AI reviewers. This paper argues that this response is structurally circular when executable specif…

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…