34 citations · 49 across the 15 of their papers we have counts for
8 papers · 1 filter
High-Resolution Sensing via Quantum States Discrimination
Qi-An Su, Qi Song, Hongjing Li +5
High-resolution sensing plays a significant role in scientific research and industrial production, but the practical implementation is constrained by the physical mechanisms of the…
Incorporating rank-free coupling and external field via an incoherent modulated spatial photonic Ising machine
Ze Zheng, Yuegang Li, Hang Xu +3
Spatial photonic Ising machines offer a novel optical platform for optimization and spin-model simulation, but existing diffraction-based schemes rely on auxiliary spins or multipl…
Scaling Enhancement in Quantum Metrology via Indefinite-Time-Direction Encoding
Binke Xia, Jingzheng Huang, Yuxiang Yang +1
The precision limit in quantum metrology, quantified by the root-mean-square error of parameter estimation, is conventionally expected to improve at most linearly with the total in…
Real-time imaging through dynamic scattering media enabled by fixed optical modulations
Yuegang Li, Junjie Wang, Tailong Xiao +5
Dynamic scattering remains a significant challenge to the practical deployment of anti-scattering imaging. Existing methods, such as transmission matrix measurements, iterative wav…
High-sensitivity Optical Microcavity Acoustic Sensor Covering Free Spectral Range
Qi Song, Hongjing Li, Chengxi Yu +6
Optical whispering gallery mode microcavity acoustic sensors have emerged significant potential in high-sensitivity acoustic signal detection, but the narrow dynamic range limits t…
Learning to Restore Heisenberg Limit in Noisy Quantum Sensing via Quantum Digital Twin
Hang Xu, Tailong Xiao, Jingzheng Huang +2
Quantum sensors leverage nonclassical resources to achieve sensing precision at the Heisenberg limit, surpassing the standard quantum limit attainable through classical strategies.…
Towards Heisenberg limit without critical slowing down via quantum reinforcement learning
Hang Xu, Tailong Xiao, Jingzheng Huang +3
Critical ground states of quantum many-body systems have emerged as vital resources for quantum-enhanced sensing. Traditional methods to prepare these states often rely on adiabati…
Quantum neural compressive sensing for ghost imaging
Xinliang Zhai, Tailong Xiao, Jingzheng Huang +2
Demonstrating the utility of quantum algorithms is a long-standing challenge, where quantum machine learning becomes one of the most promising candidate that can be resorted to. In…