44 citations · 184 across the 21 of their papers we have counts for
21 papers
Virtual quantum neural networks
Benchi Zhao, Xuanqiang Zhao, Yinan Li +2
Quantum neural networks are a prominent model of quantum machine learning. Their training consists in the minimization of a given loss function over a parametrized family of quantu…
Causal-Class Hierarchies in Coherence-Constrained Channel Transformation
Lin Zhu, Benchi Zhao, Xuanqiang Zhao +3
Higher-order quantum transformations allow multiple channel uses to be combined through different causal architectures, from parallel and fixed-order sequential networks to general…
Benchmarking Agents for Proving Theorems in Quantum Algorithms and Quantum Information
Lei Zhang, Yusheng Zhao, Yimeng Cao +10
Formal verification is becoming increasingly practical for quantum computing, yet the ability of AI agents to construct machine-checkable proofs in this domain remains unmeasured.…
Lean-QIT: Towards a Formal Infrastructure for Quantum Information Theory
Chengkai Zhu, Ziao Tang, Guocheng Zhen +6
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information processing, underpinning quantum communication, computation, and error…
Efficient implementation of arbitrary Hermitian-preserving and trace-preserving maps
Weizhou Cai, Zi-Jie Chen, Xuanqiang Zhao +4
Quantum control has been a cornerstone of quantum information science, driving major advances in quantum computing, quantum communication, and quantum sensing. Over the years, it h…
Quantifying Unextendibility via Virtual State Extension
Hongshun Yao, Jingu Xie, Xuanqiang Zhao +3
Monogamy of entanglement, which limits how entanglement can be shared among multiple parties, is a fundamental feature underpinning the privacy of quantum communication. In this wo…
The communication power of indefinite causal order
Xuanqiang Zhao, Benchi Zhao, Cyril Branciard +1
Quantum theory is in principle compatible with scenarios where physical processes occur in an indefinite order, potentially yielding advantages in a broad range of information proc…
Power and limitations of distributed quantum state purification
Benchi Zhao, Yu-Ao Chen, Xuanqiang Zhao +3
Quantum state purification protocols, which mitigate noise by converting multiple copies of noisy quantum states into fewer copies with a lower noise level, have applications in qu…
Classical communication cost of a bipartite quantum channel assisted by non-signalling correlations
Chengkai Zhu, Xuanqiang Zhao, Xin Wang
Understanding the classical communication cost of simulating a quantum channel is a fundamental problem in quantum information theory, which becomes even more intriguing when consi…
Shadow Simulation of Quantum Processes
Xuanqiang Zhao, Xin Wang, Giulio Chiribella
We introduce the task of shadow process simulation, where the goal is to simulate the estimation of the expectation values of arbitrary quantum observables at the output of a targe…
Dimension-independent weak value estimation via controlled SWAP operations
Giulio Chiribella, Kyrylo Simonov, Xuanqiang Zhao
Weak values of quantum observables are a powerful tool for investigating quantum phenomena. Some methods for measuring weak values in the laboratory require weak interactions and p…
Retrieving non-linear features from noisy quantum states
Benchi Zhao, Mingrui Jing, Lei Zhang +4
Accurately estimating high-order moments of quantum states is an elementary precondition for many crucial tasks in quantum computing, such as entanglement spectroscopy, entropy est…
Power of quantum measurement in simulating unphysical operations
Xuanqiang Zhao, Lei Zhang, Benchi Zhao +1
The manipulation of quantum states through linear maps beyond quantum operations has many important applications in various areas of quantum information processing. Current methods…
Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li, Ruilin Ye, Xuanqiang Zhao +1
Variational quantum algorithms have been acknowledged as a leading strategy to realize near-term quantum advantages in meaningful tasks, including machine learning and combinatoria…
Quantum Self-Attention Neural Networks for Text Classification
Guangxi Li, Xuanqiang Zhao, Xin Wang
An emerging direction of quantum computing is to establish meaningful quantum applications in various fields of artificial intelligence, including natural language processing (NLP)…
Information recoverability of noisy quantum states
Xuanqiang Zhao, Benchi Zhao, Zihan Xia +1
Extracting classical information from quantum systems is an essential step of many quantum algorithms. However, this information could be corrupted as the systems are prone to quan…
Optimal quantum dataset for learning a unitary transformation
Zhan Yu, Xuanqiang Zhao, Benchi Zhao +1
Unitary transformations formulate the time evolution of quantum states. How to learn a unitary transformation efficiently is a fundamental problem in quantum machine learning. The…
Practical distributed quantum information processing with LOCCNet
Xuanqiang Zhao, Benchi Zhao, Zihe Wang +2
Distributed quantum information processing is essential for building quantum networks and enabling more extensive quantum computations. In this regime, several spatially separated…
Detecting and quantifying entanglement on near-term quantum devices
Kun Wang, Zhixin Song, Xuanqiang Zhao +2
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current Noisy Intermediate-Scale Quantum (NISQ) era. This paper combines…
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao +1
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data similarity, the trace distance and quantum fid…
Enhanced spectral resolution for broadband coherent anti-Stokes Raman spectroscopy
Faris Sinjab, Kazuki Hashimoto, Xuanqiang Zhao +2
The spectral resolution of broadband Fourier-transform coherent anti-Stokes Raman spectroscopy is limited by the maximum optical path length difference that can be scanned within a…