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Xin Wang

Staff Researcher

Baidu Research

Biography

I am a Staff Researcher at the Institute for Quantum Computing at Baidu Research. I am interested in the theory of quantum information, quantum computing, optimization, and machine learning.

I was a Hartree Postdoctoral Fellow at the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland, College Park. I received my doctorate in quantum information from the University of Technology Sydney (UTS:QSI) in 2018, under the supervision of Prof. Runyao Duan and Prof. Andreas Winter. I obtained my B.S. in mathematics (with Wu Yuzhang Honor) from Sichuan University in 2014.

A full list of my publications can be found on Google Scholar or arXiv. My full CV is available here.

Hiring: I am looking for self-motivated student interns who are interested in quantum computation and machine learning. Please feel free to contact me.

Interests

  • Quantum Information
  • Quantum Computation
  • Machine Learning
  • Optimization
  • Quantum Control
  • Quantum Programming

Education

  • PhD in Quantum Information, 2018

    University of Technology Sydney

  • BSc in Mathematics, 2014

    Sichuan University

Experience

 
 
 
 
 

Staff Researcher

Institute for Quantum Computing, Baidu Research

Jul 2019 – Present Beijing
 
 
 
 
 

Hartree Postdoctoral Fellow

QuICS, University of Maryland, College Park

Sep 2018 – Jul 2019 Maryland

News

  • 2020.06, I gave an invited keynote on Quantum Channel’s Resource Theory [slides] at TQC 2020.
  • 2020.06, I gave a contributed talk Optimizing the fundamental limits for quantum and private communication [arXiv] [slides] at TQC 2020. We establish improved upper bounds on the quantum and private capacities of depolarizing channel, generalized amplitude damping channel, and BB84 channel.
  • 2020.06, new paper “Variational Quantum Singular Value Decomposition” with my intern student Zhixin Song and visiting student Youle Wang [arXiv].
  • 2020.06, new paper “More Practical and Adaptive Algorithms for Online Quantum State Learning” with my intern student Yifang Chen [arXiv].
  • 2020.05, new paper “Variational quantum Gibbs state preparation with a truncated Taylor series” with my visiting students Youle Wang and Guangxi Li [arXiv].
  • 2020.04, our paper Quantification of Unextendible Entanglement and Its Applications in Entanglement Distillation was accepted by ISIT 2020.
  • 2020.02, new paper Quantum algorithms for hedging and the Sparsitron with Y. Hamoudi, M. Ray, P. Rebentrost, M. Santha, and S. Yang is available [arXiv].
  • 2020.01, our work Efficiently computable bounds for magic state distillation has been accepted by Physical Review Letters.
  • 2020.01, our work Quantifying the magic resources for quantum computation was presented as a talk at QIP 2020.
  • 2020.01, our work Resource theory of asymmetric distinguishability was presented as a talk at QIP 2020.
  • 2019.09, our paper Quantum Channel Simulation and the Channel’s Smooth Max-Information has been accepted by IEEE Transactions on Information Theory [paper].
  • 2019.09, our paper Quantifying the magic of quantum channels has been published in New Journal of Physics [paper].
  • 2019.09, our paper One-Shot Entanglement Distillation beyond LOCC has been published in New Journal of Physics [paper].
  • 2019.06, our work Efficiently computable bounds for magic state distillation was presented as a long talk at AQIS 2019.
  • 2019.06, our work Resource theory of asymmetric distinguishability will be presented as a talk at AQIS 2019.
  • 2019.06, I am invited to deliver lectures and tutorials at the 2019 Illinois Quantum Computing Summer School.
  • 2019.06, I am invited to serve as a program committee member for AQIS 2019.
  • 2019.04, our paper Non-asymptotic entanglement distillation has been accepted by IEEE Transactions on Information Theory [paper].
  • 2019.01, our work Entanglement cost of quantum state preparation and channel simulation was presented as a talk at QIP 2019 [slides][video].
  • 2019.01, our paper On converse bounds for classical communication over quantum channels has been accepted by IEEE Transactions on Information Theory [paper].
  • 2018.12, my PhD thesis “Semidefinite Optimization for Quantum Information” was awarded the Chancellor’s List for Best Thesis.
  • 2018.10, our paper Using and reusing coherence to realize quantum processes was published in Quantum.
  • 2018.10, our paper Semidefinite programming converse bounds for quantum communication was published in IEEE Transactions on Information Theory [link].

Publications

  1. Variational Quantum Singular Value Decomposition
    Xin Wang, Zhixin Song, and Youle Wang
    arXiv:2006.02336
  2. More Practical and Adaptive Algorithms for Online Quantum State Learning
    Yifang Chen and Xin Wang
    arXiv:2006.01013
  3. Variational quantum Gibbs state preparation with a truncated Taylor series
    Youle Wang, Guangxi Li, and Xin Wang
    arXiv:2005.08797
  4. Quantifying the magic of quantum channels
    Xin Wang, Mark M. Wilde, Yuan Su
    Presented at QIP 2020 as a talk.
    [NJP] [arXiv]
  5. Resource theory of asymmetric distinguishability
    Xin Wang and Mark M. Wilde
    Presented at QIP 2020 as a talk.
    Phys. Rev. Research 1, 033170, (2019)
    [PRR][arXiv]
  6. Quantum Channel Simulation and the Channel’s Smooth Max-Information
    Kun Fang, Xin Wang, Marco Tomamichel, Mario Berta
    Presented at ISIT 2018, TQC 2018 and BIID 2018 as contributed talks.
    IEEE Transactions on Information Theory (in press, 2019).
    [TIT][ISIT][arXiv]
  7. Optimizing the fundamental limits for quantum and private communication
    Xin Wang
    Accepted by TQC 2020 as a talk.
    arXiv:1912.00931
  8. Quantum algorithms for hedging and the Sparsitron
    Yassine Hamoudi, Maharshi Ray, Patrick Rebentrost, Miklos Santha, Xin Wang, Siyi Yang
    arXiv:2002.06003
  9. Resource theory of asymmetric distinguishability for quantum channels
    Xin Wang and Mark M. Wilde
    Phys. Rev. Research 1, 033169, (2019)
    [PRR] [arXiv]
  10. Quantifying the unextendibility of entanglement
    Kun Wang, Xin Wang, and Mark M. Wilde
    Accepted by ISIT 2020 as a talk.
    arXiv:1911.07433
  11. Efficiently computable bounds for magic state distillation
    Xin Wang, Mark M. Wilde, Yuan Su
    Physical Review Letters (in press, 2020) Presented at AQIS 2019 as a long talk.
    [PRL][arXiv]
  12. Time-dependent Hamiltonian simulation with L1-norm scaling
    Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
    Quantum (in press, 2020)
    arXiv:1906.07115
  13. On converse bounds for classical communication over quantum channels
    Xin Wang, Kun Fang, Marco Tomamichel
    Presented at QIP 2018 as a contributed talk.
    IEEE Transactions on Information Theory 65(7): 4609 - 4619 (2019).
    [TIT][arXiv]
  14. Exact entanglement cost of quantum states and channels under PPT-preserving operations
    Xin Wang and Mark M. Wilde
    Presented at QIP 2019 as a contributed talk.
    [arXiv]
  15. α-Logarithmic negativity
    Xin Wang and Mark M. Wilde
    arXiv:1904.10437
  16. Resource theory of entanglement for bipartite quantum channels
    Stefan Bäuml, Siddhartha Das, Xin Wang, Mark M. Wilde
    arXiv:1907.04181
  17. One-shot entanglement distillation beyond LOCC
    Bartosz Regula, Kun Fang, Xin Wang, Mile Gu
    New Journal of Physics 21, 103017 (2019)
    [NJP][arXiv]
  18. Non-asymptotic entanglement distillation
    Kun Fang, Xin Wang, Marco Tomamichel, Runyao Duan
    Presented at AQIS 2017 as a long talk.
    IEEE Transactions on Information Theory 65(10): 6454 - 6465 (2019).
    [TIT][arXiv]
  19. Semidefinite programming converse bounds for quantum communication
    Xin Wang, Kun Fang, Runyao Duan
    Presented at QIP 2018 as a contributed talk.
    IEEE Transactions on Information Theory 65(4): 2583 - 2592 (2019).
    [TIT][arXiv][slides]
  20. Separation between quantum Lovász number and entanglement-assisted zero-error capacity
    Xin Wang and Runyao Duan
    Presented at AQIS 2016 as a contributed talk.
    IEEE Transactions on Information Theory 64(3):1454-1460 (2018).
    [TIT][arXiv][slides]
  21. Converse bounds for classical communication over quantum networks
    Wei Xie, Xin Wang, and Runyao Duan
    Proceedings of the 2018 IEEE International Symposium on Information Theory.
    [ISIT][arXiv]
  22. Probabilistic distillation of quantum coherence
    Kun Fang, Xin Wang, Ludovico Lami, Bartosz Regula, Gerardo Adesso
    Physical Review Letters 121, 070404 (2018).
    [PRL][arXiv]
  23. Gaussian quantum resource theories
    Ludovico Lami, Bartosz Regula, Xin Wang, Rosanna Nichols, Andreas Winter, Gerardo Adesso
    Physical Review A 98, 022335 (2018) (Editors’ Suggestion)
    [PRA][arXiv]
  24. One-shot coherence distillation
    Bartosz Regula, Kun Fang, Xin Wang, Gerardo Adesso
    Physical Review Letters 121, 010401 (2018).
    [PRL][arXiv]
  25. Semidefinite programming strong converse bounds for classical capacity
    Xin Wang, Wei Xie, Runyao Duan
    Presented at QIP 2017, ISIT 2017, BIID 2017 as contributed talks.
    IEEE Transactions on Information Theory 64(1): 640-653 (2018).
    [TIT][arXiv][slides]
  26. Using and reusing coherence to realize quantum processes
    María García Díaz, Kun Fang, Xin Wang, Matteo Rosati, Michalis Skotiniotis, John Calsamiglia, Andreas Winter
    Quantum Journal 2, 100 (2018).
    [Quantum][arXiv]
  27. Q|SI⟩: A Quantum Programming Environment
    Shusen Liu, Xin Wang, Li Zhou, Ji Guan, Yinan Li, Yang He, Runyao Duan, Mingsheng Ying
    In Symposium on Real-Time and Hybrid Systems. Lecture Notes in Computer Science, vol 11180. Springer, Cham.
    arXiv:1710.09500, software available at http://www.qcompiler.com.
  28. Tripartite-to-bipartite Entanglement Transformation by Stochastic Local Operations and Classical Communication and the Classification of Matrix Spaces
    Yinan Li, Youming Qiao, Xin Wang, Runyao Duan
    Presented at AQIS 2016 as a contributed talk.
    Communications in Mathematical Physics 358(2): 791–814 (2018).
    [CMP][arXiv][slides]
  29. Irreversibility of Asymptotic Entanglement Manipulation Under PPT operations
    Xin Wang and Runyao Duan
    Presented at QIP 2017 as a contributed talk and at AQIS 2017 as a long talk.
    Physical Review Letters 119, 180506 (2017).
    [PRL][arXiv][slides]
  30. Approximate broadcasting of quantum correlations
    Wei Xie, Kun Fang, Xin Wang, Runyao Duan
    Physical Review A 96, 022302 (2017).
    Presented at AQIS 2017.
    [PRA][arXiv]
  31. Indistinguishability of Quantum States by PPT operations in the many-copy scenario
    Yinan Li, Xin Wang, Runyao Duan
    Physical Review A 95, 052346 (2017).
    [PRA][arXiv]
  32. Rains’ bound is not additive
    Xin Wang and Runyao Duan
    Physical Review A 95, 062322 (2017).
    [PRA][arXiv]
  33. A semidefinite programming upper bound of quantum capacity
    Xin Wang and Runyao Duan
    Proceedings of the 2016 IEEE International Symposium on Information Theory.
    [ISIT][arXiv]
  34. On the quantum no-signalling assisted zero-error simulation cost of non-commutative bipartite graphs
    Xin Wang and Runyao Duan
    Proceedings of the 2016 IEEE International Symposium on Information Theory.
    [ISIT][arXiv]
  35. Improved Semidefinite Programming Upper Bound on Distillable Entanglement
    Xin Wang and Runyao Duan
    Presented at AQIS 2016 as a contributed talk.
    Physical Review A 94, 050301 (Rapid communication) (2016).
    [PRA][arXiv]
  36. Activated zero-error capacity of quantum channels in the presence of quantum no-signalling correlations
    Runyao Duan and Xin Wang
    [arXiv].