Xin Wang
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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LOCCNet: a machine learning framework for distributed quantum information processing
Distributed quantum information processing is essential for building quantum networks and enabling more extensive quantum computations. …
Xuanqiang Zhao
,
Benchi Zhao
,
Zihe Wang
,
Zhixin Song
,
Xin Wang
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DOI
Quantum algorithms for hedging and the learning of Ising models
A paradigmatic algorithm for online learning is the Hedge algorithm by Freund and Schapire. An allocation into different strategies is …
Patrick Rebentrost
,
Yassine Hamoudi
,
Maharshi Ray
,
Xin Wang
,
Siyi Yang
,
Miklos Santha
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DOI
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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alpha-logarithmic negativity
© 2020 American Physical Society. The logarithmic negativity of a bipartite quantum state is a widely employed entanglement measure in …
Xin Wang
,
Mark M. Wilde
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DOI
Cost of Quantum Entanglement Simplified
Quantum entanglement is a key physical resource in quantum information processing that allows for performing basic quantum tasks such …
Xin Wang
,
Mark M. Wilde
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DOI
Quantum Channel Simulation and the Channel's Smooth Max-Information
We study the general framework of quantum channel simulation, that is, the ability of a quantum channel to simulate another one using …
Kun Fang
,
Xin Wang
,
Marco Tomamichel
,
Mario Berta
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DOI
Time-dependent Hamiltonian simulation with L1-norm scaling
The difficulty of simulating quantum dynamics depends on the norm of the Hamiltonian. When the Hamiltonian varies with time, the …
Dominic W. Berry
,
Andrew M. Childs
,
Yuan Su
,
Xin Wang
,
Nathan Wiebe
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DOI
Efficiently Computable Bounds for Magic State Distillation
Magic state manipulation is a crucial component in the leading approaches to realizing scalable, fault-tolerant, and universal quantum …
Xin Wang
,
Mark M Wilde
,
Yuan Su
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DOI
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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