19 citations · 38 across the 14 of their papers we have counts for
17 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…
Simultaneous Heisenberg-Limited Multiparameter Metrology via Indefinite Evolution
Hang Xu, Tailong Xiao, Ze Zheng +4
Quantum metrology achieves Heisenberg-limited precision in single-parameter estimation, but its multiparameter extension is fundamentally constrained by both parameter-encoding and…
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…
Learning to Reconstruct Wigner Functions in Phase Space
Xinyu Tang, Yi-hsin Lin, Yan Zhu +5
Wigner function learning is a central tool for characterizing continuous variable quantum systems. A fundamental challenge in this setting is to infer a continuous phase-space func…
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 Heisenberg-limited Quantum Sensing via Indefinite-Causal-Order Error Correction
Hang Xu, Xiaoyang Deng, Ze Zheng +2
Quantum resources can, in principle, enable Heisenberg-limited (HL) sensing, yet no-go theorems imply that HL scaling is generically unattainable in realistic noisy devices. While…
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…
Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
Yue-Gang Li, Ze Zheng, Jun-jie Wang +4
Ghost imaging leverages a single-pixel detector with no spatial resolution to acquire object echo intensity signals, which are correlated with illumination patterns to reconstruct…
Discovering autonomous quantum error correction via deep reinforcement learning
Yue Yin, Tailong Xiao, Xiaoyang Deng +3
Quantum error correction is essential for fault-tolerant quantum computing. However, standard methods relying on active measurements may introduce additional errors. Autonomous qua…
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…
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…
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…
Type of Non-reciprocity in Fiber Sagnac Interferometer Induced by Geometric Phases
Dongzi Zhao, Jing-Zheng Huang, Tailong Xiao +3
The non-reciprocity of Sagnac interferometer provides ultra-high sensitivity for parameter estimation and offers a wide range of applications, especially for optical fiber sensing.…
Unidimensional continuous-variable measurement-device-independent quantum key distribution
Dongyun Bai, Peng Huang, Yiqun Zhu +4
Continuous-variable (CV) measurement-device-independent (MDI) quantum key distribution (QKD) is immune to imperfect detection devices, which can eliminate all kinds of attacks on p…