activity
20232026
most citedSingle-pixel imaging based on deep learning

5 citations · 7 across the 10 of their papers we have counts for

collaborators

10 papers

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…

quant-ph2026

High-resolution wide-field magnetic imaging with sparse sampling using nitrogen-vacancy centers

Keqing Liu, Jiazhao Tian, Bokun Duan +7

Nitrogen-vacancy (NV) centers in diamond enable quantitative magnetic imaging, yet practical implementations must balance spatial resolution against acquisition time (and thus per-…

cond-mat.mes-hall2025

Electric-field control of pure spin photocurrent in germanene

Yaqing Yang, Zhen Zhang, Liwen Zhang +4

The electrical control of pure spin current remains a central challenge in spintronics, particularly in time-reversal symmetric systems composed of nonmagnetic elements, where spin…

cond-mat.mes-hall2025

Stable self-charged perovskite quantum rods for liquid laser with near-zero threshold

Jialu Li, Xue Han, Wenjie Wang +18

Colloidal quantum dots (QDs) are promising optical gain materials that require further threshold reduction to realize their full potential. While QD charging theoretically reduces…

physics.optics2025

On-demand manipulation of superbunching emission from colloidal quantum dots and its application in noise-resistance correlated biphoton imaging

Yunrui Song, Chengbing Qin, Yuanyuan Li +10

Superbunching effect with second-order correlations larger than 2, , indicating the N-photon bundles emission and strong correlation among photons, has a broad range…

physics.optics2025

Spatiotemporal Deep Learning Network for Photon-Level Block Compressed Sensing Imaging

Changzhi Yu, Shuangping Han, Kai Song +1

In this paper, we propose a spatiotemporal deep learning network for photon-level Block Compressed Sensing Imaging, aimed to address challenges such as signal loss, artifacts, and…

quant-ph2025

High-accuracy disposable micro-optical anti-counterfeiting labels based on single-molecule quantum coherence

Shuangping Han, Kai Song, Pengyu Zan +5

In this work we introduce an innovative approach to single-molecule quantum coherence (SMQC)-based disposable micro-optical anti-counterfeiting labels. This method facilitates the…

physics.optics2024

Gas pressure manipulation of exciton states in monolayer WS2

Shuangping Han, Pengyu Zan, Yu Yan +3

Over the past few decades, thin film optoelectronic devices based on transition metal dichalcogenides (TMDs) have made significant progress. However, the sensitivity of the exciton…

eess.IV2023★ 5 cited

Single-pixel imaging based on deep learning

Kai Song, Yaoxing Bian, Ku Wu +7

Single-pixel imaging can collect images at the wavelengths outside the reach of conventional focal plane array detectors. However, the limited image quality and lengthy computation…

quant-ph2023★ 2 cited

Rapid transform optimisation strategy for decoherence-protected quantum register in diamond

Jiazhao Tian, Haibin Liu, Roberto Sailer +3

Decoherence-protected spins associated with nitrogen-vacancy color centers in diamond possess remarkable long coherence time, which make them one of the most promising and robust q…