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Reversible Entanglement Beyond Quantum Operations
We introduce a reversible theory of exact entanglement manipulation by establishing a necessary and sufficient condition for state …
Xin Wang
,
Yu-Ao Chen
,
Lei Zhang
,
Chenghong Zhu
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DOI
Virtual Quantum Markov Chains
Quantum Markov chains generalize classical Markov chains for random variables to the quantum realm and exhibit unique inherent …
Yu-Ao Chen
,
Chengkai Zhu
,
Keming He
,
Mingrui Jing
,
Xin Wang
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Computable and Faithful Lower Bound for Entanglement Cost
Abstract Quantum entanglement is a crucial resource in quantum information processing. However, quantifying the entanglement required …
Xin Wang
,
Mingrui Jing
,
Chengkai Zhu
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DOI
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Understanding the power of parameterized quantum circuits (PQCs) in accomplishing machine learning tasks is one of the most important …
Zhan Yu
,
Qiuhao Chen
,
Yuling Jiao
,
Yinan Li
,
Xiliang Lu
,
Xin Wang
,
Jerry Zhijian Yang
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DOI
Power of Quantum Measurement in Simulating Unphysical Operations
The manipulation of quantum states through linear maps beyond quantum operations has many important applications in various areas of …
Xuanqiang-Zhao
,
Lei Zhang
,
Benchi Zhao
,
Xin Wang
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DOI
Efficient information recovery from Pauli noise via classical shadow
The rapid advancement of quantum computing has led to an extensive demand for effective techniques to extract classical information …
Yifei Chen
,
Zhan Yu
,
Chenghong Zhu
,
Xin Wang
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Measurement Error Mitigation via Truncated Neumann Series
Measurements on near-term quantum processors are inevitably subject to hardware imperfections that lead to readout errors. Mitigation …
Kun Wang
,
Yu-Ao Chen
,
Xin Wang
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Detecting and quantifying entanglement on near-term quantum devices
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current Noisy …
Kun Wang
,
Zhixin Song
,
Xuanqiang-Zhao
,
Zihe Wang
,
Xin Wang
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More Practical and Adaptive Algorithms for Online Quantum State Learning
Online quantum state learning is a recently proposed problem by Aaronson et al. (2018), where the learner sequentially predicts …
Yifang Chen
,
Xin Wang
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Quantifying the unextendibility of entanglement
The unextendibility or monogamy of entangled states is a key property of quantum entanglement. Unlike conventional ways of expressing …
Kun Wang
,
Xin Wang
,
Mark M. Wilde
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