148 citations · 1.1k across the 67 of their papers we have counts for
67 papers
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…
A Voxel-Based Quantum Computing Method (VBQC) for Solid Mechanics Problem
Feng Wu, Yuxiang Yang, Li Zhu +3
Quantum computing presents a promising method to overcome the efficiency and memory constraints in large-scale mechanical problems, with numerous successful applications demonstrat…
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…
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…
Supervised and unsupervised learning with numerical computation for the Wolfram cellular automata
Kui Tuo, Shengfeng Deng, Yuxiang Yang +4
The local rules of Wolfram cellular automata with one-dimensional three-cell neighborhoods are represented by eight-bit binary that encode deterministic update rules. These automat…
Resource quantification for programming low-depth quantum circuits
Entong He, Yuxiang Yang
Noisy intermediate-scale quantum (NISQ) devices pave the way for implementing quantum algorithms that offer quantum advantages over their classical counterparts. Due to the intrins…
Critical dynamics of the directed percolation with Lévy-driven temporally quenched disorder
Yanyang Wang, Yuxiang Yang, Wei Li
Quenched disorder in absorbing phase transitions can disrupt the structure and symmetry of reaction-diffusion processes, offering a more accurate mapping to real physical systems.…
Nonlinear Enhancement of Measurement Precision via a Hybrid Quantum Switch
Lei Chen, Yu-Xiang Yang, Gong-Chu Li +8
Quantum metrology promises measurement precision beyond the classical limit by using suitably tailored quantum states and detection strategies. However, scaling up this advantage i…
Optimal quantum metrology under energy constraints
Longyun Chen, Yuxiang Yang
The traditional framework of quantum metrology commonly assumes unlimited access to resources, overlooking resource constraints in realistic scenarios. As such, the optimal strateg…
Fully-Optimized Quantum Metrology: Framework, Tools, and Applications
Qiushi Liu, Zihao Hu, Haidong Yuan +1
This tutorial introduces a systematic approach for addressing the key question of quantum metrology: For a generic task of sensing an unknown parameter, what is the ultimate precis…
Recovering optimal precision in quantum sensing with time domain imperfections
Zi-Shen Li, Xinyue Long, Xiaodong Yang +2
Quantum control plays a crucial role in enhancing precision scaling for quantum sensing. However, most existing protocols require perfect control, even though real-world devices in…
Quantum Ranging Enhanced TDoA Localization
Entong He, Yuxiang Yang, Chenshu Wu
Localization is critical to numerous applications. The performance of classical localization protocols is limited by the specific form of distance information and suffer from consi…
QuERLoc: Towards Next-Generation Localization with Quantum-Enhanced Ranging
Entong He, Yuxiang Yang, Chenshu Wu
Remarkable advances have been achieved in localization techniques in past decades, rendering it one of the most important technologies indispensable to our daily lives. In this pap…
Compression of quantum shallow-circuit states
Yuxiang Yang
Shallow quantum circuits feature not only computational advantages over their classical counterparts but also cutting-edge applications. Storing quantum information generated by sh…
Efficient tensor networks for control-enhanced quantum metrology
Qiushi Liu, Yuxiang Yang
Optimized quantum control can enhance the performance and noise resilience of quantum metrology. However, the optimization quickly becomes intractable when multiple control operati…
Heisenberg-Limited Quantum Metrology without Ancillae
Qiushi Liu, Yuxiang Yang
Extensive research has been dedicated to the asymptotic theory of quantum metrology, where the goal is to determine the ultimate precision limit of quantum channel estimation when…
The behavior of rich-club coefficient in scale-free networks
Zhihang Liu, Wei Li, Yuxiang Yang
The rich-club phenomenon, which provides information about the association between nodes, is a useful method to study the hierarchy structure of networks. In this work, we explore…
Autoencoder-assisted study of directed percolation with spatial long-range interactions
Yanyang Wang, Yuxiang Yang, Wei Li
Spatial L{é}vy-like flights are introduced as a way in the absorbing phase transitions to produce non-local interactions. We utilize the autoencoder, an unsupervised learning metho…
Machine learning of (1+1)-dimensional directed percolation based on raw and shuffled configurations
Shen Jianmin, Wang Shanshan, Li Wei +6
Machine learning (ML) can process large sets of data generated from complex systems, which is ideal for classification tasks as often appeared in critical phenomena. Meanwhile ML t…