6 citations · 6 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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.…