Xin Wang

Orcid: 0000-0002-0641-3186

Affiliations:
  • Hong Kong University of Science and Technology, Thrust of Artificial Intelligence, Information Hub, Guangzhou, China
  • Baidu Research, Institute for Quantum Computing, Beijing, China
  • University of Maryland, College Park, USA (former)
  • University of Technology Sydney, Centre for Quantum Computation and Intelligent Systems, NSW, Australia (former)


According to our database1, Xin Wang authored at least 52 papers between 2015 and 2023.

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Bibliography

2023
Mitigating quantum errors via truncated Neumann series.
Sci. China Inf. Sci., August, 2023

Bounding the Forward Classical Capacity of Bipartite Quantum Channels.
IEEE Trans. Inf. Theory, May, 2023

Information recoverability of noisy quantum states.
Quantum, April, 2023

A hybrid quantum-classical Hamiltonian learning algorithm.
Sci. China Inf. Sci., February, 2023

Efficient information recovery from Pauli noise via classical shadow.
CoRR, 2023

Estimate distillable entanglement and quantum capacity by squeezing useless entanglement.
CoRR, 2023

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Upper Bounds on the Distillable Randomness of Bipartite Quantum States.
Proceedings of the IEEE Information Theory Workshop, 2023

2022
Quantum Phase Processing: Transform and Extract Eigen-Information of Quantum Systems.
CoRR, 2022

Mitigating barren plateaus of variational quantum eigensolvers.
CoRR, 2022

Quantum Self-Attention Neural Networks for Text Classification.
CoRR, 2022

Fundamental limitations on optimization in variational quantum algorithms.
CoRR, 2022

Power and limitations of single-qubit native quantum neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Concentration of Data Encoding in Parameterized Quantum Circuits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Pursuing the Fundamental Limits for Quantum Communication.
IEEE Trans. Inf. Theory, 2021

Variational Quantum Singular Value Decomposition.
Quantum, 2021

Physical Implementability of Linear Maps and Its Application in Error Mitigation.
Quantum, 2021

Ultimate Limits of Quantum Channel Discrimination.
CoRR, 2021

Lower bound the T-count via unitary stabilizer nullity.
CoRR, 2021

Symmetric distinguishability as a quantum resource.
CoRR, 2021

LOCCNet: a machine learning framework for distributed quantum information processing.
CoRR, 2021

Upper bound on the classical capacity of a quantum channel assisted by classical feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2021

VSQL: Variational Shadow Quantum Learning for Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Quantum Channel Simulation and the Channel's Smooth Max-Information.
IEEE Trans. Inf. Theory, 2020

Time-dependent Hamiltonian simulation withL1-norm scaling.
Quantum, 2020

Variational Quantum Algorithms for Trace Distance and Fidelity Estimation.
CoRR, 2020

Cost of quantum entanglement simplified.
CoRR, 2020

More Practical and Adaptive Algorithms for Online Quantum State Learning.
CoRR, 2020

Quantification of Unextendible Entanglement and Its Applications in Entanglement Distillation.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
On Converse Bounds for Classical Communication Over Quantum Channels.
IEEE Trans. Inf. Theory, 2019

Semidefinite Programming Converse Bounds for Quantum Communication.
IEEE Trans. Inf. Theory, 2019

Non-Asymptotic Entanglement Distillation.
IEEE Trans. Inf. Theory, 2019

Optimizing the fundamental limits for quantum and private communication.
CoRR, 2019

Quantifying the unextendibility of entanglement.
CoRR, 2019

Resource theory of asymmetric distinguishability for quantum channels.
CoRR, 2019

Time-dependent Hamiltonian simulation with $L^1$-norm scaling.
CoRR, 2019

Resource theory of asymmetric distinguishability.
CoRR, 2019

α-Logarithmic negativity.
CoRR, 2019

Quantifying the magic of quantum channels.
CoRR, 2019

2018
Semidefinite optimization for quantum information
PhD thesis, 2018

Semidefinite Programming Strong Converse Bounds for Classical Capacity.
IEEE Trans. Inf. Theory, 2018

Separation Between Quantum Lovász Number and Entanglement-Assisted Zero-Error Classical Capacity.
IEEE Trans. Inf. Theory, 2018

Efficiently computable bounds for magic state distillation.
CoRR, 2018

Exact entanglement cost of quantum states and channels under PPT-preserving operations.
CoRR, 2018

Converse Bounds for Classical Communication Over Quantum Broadcast Channels and Quantum Multi-Access Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On Finite Blocklength Converse Bounds for Classical Communication Over Quantum Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Q|SI⟩ : A Quantum Programming Environment.
Proceedings of the Symposium on Real-Time and Hybrid Systems, 2018

2017
Q|SI〉: A Quantum Programming Environment.
CoRR, 2017

Semidefinite programming converse bounds for classical communication over quantum channels.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
On the quantum no-signalling assisted zero-error classical simulation cost of non-commutative bipartite graphs.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A semidefinite programming upper bound of quantum capacity.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Activated zero-error classical capacity of quantum channels in the presence of quantum no-signalling correlations.
CoRR, 2015


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