34 citations · 49 across the 15 of their papers we have counts for
19 papers
Spectral truncations of SU(2) and the spectral localizer
Matt Verhoeven
We study operator systems arising from Peter-Weyl and Dirac spectral truncations of in the sense of Connes-Van Suijlekom. We determine operator system invariants f…
Preserving Heisenberg-Limited Metrological Information during Storage via Correlated-Noise Correction
Hang Xu, Xue-Ke Song, Jingzheng Huang +2
Quantum error correction has become an indispensable tool for restoring Heisenberg-limited precision in noisy quantum metrology. Existing protocols, however, almost exclusively foc…
Converting Quantum Sensing Noise into Erasures
Xingyu Liu, Zhaotong Cui, Binke Xia +4
Erasures are more favorable for quantum sensing than unflagged errors such as Pauli errors. However, realistic sensing noise does not usually appear as erasures; it often acts with…
Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
Ze Zheng, Ruhui Ni, Jingyi Zhao +6
Spatial photonic Ising machines (SPIMs) based on spatial light modulators (SLMs) have emerged as highly effective solvers for many tasks, including combinatorial optimization probl…
Noise-resilient nanophotonic gyroscope with sub-prad phase resolution
Yu Tao, Xinhang Li, Jingzheng Huang +5
Optical gyroscopes based on the Sagnac effect are the cornerstone of precision orientation and navigation. However, their bulky form factors prevent deployment in emerging mobile a…
Sensing Low-Frequency Field with Rydberg Atoms via Quantum Weak Measurement
Ding Wang, Shenchao Jin, Xiayang Fan +5
Recently, Rydberg atom has emerged as an attractive choice to realize quantum sensing of low-frequency electric field. The progress so far has mostly utilized the intensity and pha…
Scaling Enhancement in Distributed Quantum Sensing via Bidirectional Causal Routing
Binke Xia, Zhaotong Cui, Jingzheng Huang +2
Sensing networks underpin applications ranging from fundamental physics to real-world engineering. Distributed quantum sensing (DQS) can improve measurement performance, but existi…
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…
Controlling Unknown Quantum States via Data-Driven State Representations
Yan Zhu, Tailong Xiao, Guihua Zeng +2
Accurate control of quantum states is crucial for quantum computing and other quantum technologies. In the basic scenario, the task is to steer a quantum system towards a target st…
Toward Incompatible Quantum Limits on Multiparameter Estimation
Binke Xia, Jingzheng Huang, Hongjing Li +2
Achieving the ultimate precisions for multiple parameters simultaneously is an outstanding challenge in quantum physics, because the optimal measurements for incompatible parameter…
Nanoradian-Scale Precision in Light Rotation Measurement via Indefinite Quantum Dynamics
Binke Xia, Jingzheng Huang, Hongjing Li +2
The manipulation and metrology of light beams are pivotal for optical science and applications. In particular, achieving ultra-high precision in the measurement of light beam rotat…
Ultrasensitive Measurement of Angular Rotations via Hermite-Gaussian Pointer
Binke Xia, Jingzheng Huang, Hongjing Li +4
Exploring high sensitivity on the measurement of angular rotations is an outstanding challenge in optics and metrology. In this work, we employ the mn-order Hermite-Gaussian beam i…