148 citations · 1.1k across the 67 of their papers we have counts for
7 papers · 2 filters
Optimal Strategies for Multi-parameter Quantum Metrology
Linxuan Li, Zihao Hu, Longyun Chen +2
Estimating multiple unknown parameters simultaneously is essential for practical quantum sensing. However, it faces a fundamental challenge: the optimal strategy for estimating one…
Optimal classical shadow estimation of unitary channels at Heisenberg limit
Entong He, Zihao Li, Noam Scully +2
Full tomography of an unknown quantum evolution is resource-intensive and often unnecessary when the goal is only to predict selected properties. This motivates the study of classi…
Scaling-optimal purification of noisy qubit unitary channels
Ryotaro Niwa, Satoshi Yoshida, Koki Ono +5
We consider the problem of purifying noisy qubit unitary channels. Given the ability to apply an unknown qubit unitary channel followed by depolarizing noise, we aim to construct a…
Quantum Nonlinear Properties from a Single Measurement Setting
Zihao Li, Datong Chen, Dayue Qin +2
Nonlinear properties of quantum states are essential to quantum information and many-body physics, but assessing them experimentally is challenging, as it typically requires multi-…
Quantum Mpemba Effect in Non-Equilibrium Quantum Thermometry
Zi-Shen Li, Yuxiang Yang
The quantum Mpemba effect (QMpE) describes an anomalous thermalization phenomenon in which quantum states initially far from equilibrium can approach thermal equilibrium faster tha…
Enhanced quantum parameter estimation based on the Hardy paradox
Ming Ji, Yuxiang Yang, Holger F. Hofmann
Statistical paradoxes such as the Hardy paradox and the enhancement of phase estimation via post-selection both draw upon the same non-classical features of quantum statistics desc…
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…