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清华大学交叉信息研究院导师教师师资介绍简介-邓东灵

本站小编 Free考研考试/2020-04-16



清华大学交叉信息研究院 邓东灵
职务: 助理教授
Email:


Education
2010-2015, Ph.D. in Physics, University of Michigan
Thesis: Topological Phases of Matter: Classification, Realization and Application
Kent M. Terwilliger Memorial Thesis Prize



2007-2010, M. Sc. in Theoretical Physics, Chern Institute of Mathematics, Nankai Univeristy
Thesis: Topological Quantum Computation and Beyond
2003-2007, B. S. in Physics and Mathematics, Nankai Univeristy


Employement
2018- Assistant Professor, IIIS, Tsinghua University
2015-2018 Joint Quantum Institute Postdoctoral Fellow, University of Maryland
Research Interests
> Quantum Machine Learning & Artificial Intelligence
> Quantum Information, Computation, and Simulation
> Topological Phases of Matter, AMO Physics
> Quantum Nonequilibrium Systems, Many-body Localization
Honors, Awards & Fellowships
> 2015 Kent M. Terwilliger Memorial Thesis Prize, University of Michigan
> 2015 Joint Quantum Institute Postdoctoral Fellowship, University of Maryland
> 2015 Niels Bohr Postdoctoral Fellowship, Niels Bohr Institute, Univerisity of Copenhagan, declined
> 2010 Physics Department Fellowship, University of Michigan
> 2008 First-Class Prize for Graduate Students, Nankai University
> 2006 National Scholarship, Nankai University
> 2004 First-Class Prize of Tianjin City Undergraduate Mathematic Competition, Tianjin
Professional Activities & Services
> Referee for peer-reviewed journals & conferences: Phys. Rev. X, Phys. Rev. Lett.,
Nat. Commu., Nature Machine Intelligence, Phys. Rev. A\B, New Journal of Physics,
Scientific Report, Optical Express, Optical Letters, Physics Letters A, NPJ
Quantum Information, TQC conferences, etc.
> Chair of conference sessions: Session H3 "Symmetry Protected Topological Phases", APS
March Meeting, Los Angles, 2017; Session"Topological Order, Error Correction and Quantum
Gates", Quantum Science, Gordon Research Conferences, Easton, 2016; Session B29
"Quantum Spin Hall Effect", APS March Meeting, Baltimore, 2016; etc.
> Co-organizer of CMTC seminars, 2016-2017
Invited Talks (Partial List)
-2018.4 CCQMachine Learning and Quantum Many-Body Physics, "Measuring quantum
entanglement entropy through restricted Boltzmann machines", Flatiron Institute
-2018.3 APS March Meeting, "Machine learning quantum states and many-body
entanglement", Los Angeles
-2018.1 2nd Physics Informed Machine Learning Conference, "Machine learning quantum
states, many-body entanglement and Bell nonlocality", Los Alamos National Laboratory
-2017.12 Workshop on Artificial Intelligence and Quantum Physics, "Machine Learning Bell
Nonlocality in Quantum Many-body Systems", Nanjing University
-2017.7 Condensed Matter Seminar, "Machine learning quantum states and entanglement",
Peking University
-2017.7 Quantum Information Seminar, "Machine learning quantum states and entanglement",
University of Science and Technology of China
-2017.7 Condensed Matter Seminar, "Probe knots and Hopf insulators in both cold-atom and
solid-state quantum simulators", Fudan University
-2017.6 International Conference on Machine Learning and Many-body Physics, "Machine
learning and quantum entanglement", KITS, Beijing
-2017.1 JQI 10th Anniversary Symposium, "Exact machine learning topological states",
University of Maryland
-2015.2 Condensed Matter Seminar, "Probe knots and Hopf insulators with ultracold atoms",
C.N. Yang Institute for Theoretical Physics, Stony Brook
-2014.7 Quantum Information Seminar, "Majorana quantum random number generators",
South China Normal University, Guangzhou
-2014.6 CIM Quantum Information Seminar, "Quantum non-locality and certifiable Majorana
quantum random number generators", Chern Institute of Mathematics
-2013.4 Condensed Matter Seminar, "Hopf insulators and their topologically protected surface
states", Indiana University at Bloomington
-2011.11 Quantum Information Seminar, "Bell non-locality in conventional and topological
quantum phase transitions", National University of Singapore
Selected Publications (Google scholar profile)
[19] Y.-B. Yang, T. Qin, D.-L. Deng, L.-M. Duan, and Y. Xu, Topological Amorphous Metals, Phys. Rev. Lett.,
123, 076401 (2019). [Highlighted as Editor's Suggestion].
[18] W.-Q. Lian, S.-T. Wang, S.-R. Lu, Y.-Y. Huang, F. Wang, X.-X. Yuan, W.-G. Zhang, X.-L. Ouyang, X. Wang,
X.-Z. Huang, L. He, X.-Y. Chang, D.-L. Deng*, and L.-M. Duan*, Machine Learning Topological Phases with
a Solid-state Quantum Simulator, Phys. Rev. Lett., 122, 210503 (2019).
[17] S. Das Sarma, D.-L. Deng, and L. -M. Duan, Machine learning meets quantum physics,
Physics Today 72, 48 (2019).
[16] L. Hu, S.-H. Wu, W. Z. Cai, Y. W. Ma, X. H. Mu, Y. Xu, H. Y. Wang, Y. P. Song, D.-L. Deng*, C. L. Zou*,
and L. Y. Sun*, Quantum generative adversarial learning in a superconducting quantum circuit,
Sci. Adv., 5, eaav2761 (2019). [Media coverage: New Scientist]
[15] F.-L. Liu, J. R. Garrison, D.-L. Deng, Z.-X. Gong, and A. V. Gorshkov, Asymmetric Particle Transport and
Light-Cone Dynamics Induced by Anyonic Statistics, Phys. Rev. Lett., 121, 250404 (2018).
[Highlighted as Editor's Suggestion].
[14] Y.-T. Hsu, X. Li, D.-L. Deng, and S. Das Sarma, Machine Learning Many-body Localization: Serarch for
the Elusive Nonergodic Metal, Phys. Rev. Lett., 121, 245701 (2018).
[13] D.-L. Deng, Machine Learning Detection of Bell Nonlocality in Quantum Many-Body Systems, Phys. Rev. Lett.,
120, 240402 (2018).
[12] D.-L. Deng, X. P. Li, and S. Das Sarma, Quantum Entanglement in Neural Network States, Phys. Rev. X,
7, 021021 (2017). [Media coverage: JQI news, Deep Tech, Futurism, etc.]
[11] D.-L. Deng, X. P. Li, and S. Das Sarma, Exact Machine Learning Topological States, Phys. Rev. B
(Rapid Communications), 96, 195145 (2017).
[10] D.-L. Deng, S. Ganeshan, X.-P. Li, R. Modak, S. Mukerjee, and J. H. Pixley, Many-body localization in
incommensurate models with a mobility edge, Annalen der Physik, ** (2017). [invited topical
review article for Annalen der Physik (Annals of Physics, Berlin)]
[9] D.-L. Deng, J. H. Pixley, X.-P. Li, and Sankar Das Sarma, Exponential Orthogonality Catastrophe in
Single-particle and Many-body Localized Systems, Phys. Rev. B (Rapid Comm.), 92, 220201 (2015).
[8] D.-L. Deng, S.-T. Wang, L.-M. Duan, Direct Probe of Topological Order for Cold Atoms, Phys. Rev. A
(Rapid Communications), 90, 041601 (2014).
[7] S.-T. Wang, D.-L. Deng, and L.-M. Duan, Probe of Three-Dimensional Chiral Topological Insulators in an
Optical Lattice, Phys. Rev. Lett., 113, 033002 (2014). [Highlighted as Editor's Suggestion].
[6] D.-L. Deng, S.-T. Wang, C. Shen, and L.-M. Duan, Hopf insulators and their topologically protected surface
states, Phys. Rev. B (Rapid Communications), 88, 201105(R) (2013).
[5] C. Zu, D.-L. Deng, P.-Y. Hou, X.-Y. Chang, F. Wang, and L.-M. Duan, Experimental Distillation of Quantum
Nonlocality, Phys. Rev. Lett., 111, 050405 (2013).
[4] D.-L. Deng, and L.-M. Duan,Fault-tolerant quantum random-number generator certified by Majorana fermions,
Phys. Rev. A, 88, 012323 (2013).
[3] X. Zhang, M. Um, J.-H. Zhang, S.-M An, Y. Wang, D.-L. Deng, C. Shen, L.-M. Duan, and Kihwan Kim, State-
Independent Experimental Test of Quantum Contextuality with a Single Trapped Ion, Phys. Rev. Lett., 110,
070401 (2013).
[2] C. Zu, Y.-X. Wang, D.-L. Deng, X.-Y. Chang, K. Liu, P.-Y. Hou, H.-X. Yang,and L.-M. Duan, State-Independent
Experimental Test of Quantum Contextuality in an Indivisible System, Phys. Rev. Lett., 109,150401 (2012).
Highlighted by the Physics Viewpoint article: "Mind the (Quantum) Context" by M.Paris and M. Paternostro,
Physics 5, 113 (2012); Highlighted as Editor's Suggestion.
[1] D.-L. Deng, C.-F. Wu, J.-L. Chen, and C. H. Oh, Fault-Tolerant Greenberger-Horne-Zeilinger Paradox Based
on Non-Abelian Anyons, Phys. Rev. Lett., 105, 060402 (2010).
Open positions:
Students: Highly motivated and gifted students interested in quantum machine learning/artificial intelligence are welcome to join us (one Ph.D. student, and one or two undergraduates per year).
Postdoctors: One or two postdoc positions are avaliable. The successful applicants will be expected to perform theoretical studies in one of the following directions: 1) quantum machine learning/artificial intelligence; 2) quantum information, computation, and simulation; 3) topological phases of matter; 4) Non-equilibrium quantum systems, many-body localization. Application package should include a Curriculum Vita with a publication list, a research statement, and three recommendation letters. The position is available immediately and the search is open until the position is filled.
For more information about the positions, please contact: dldeng@tsinghua.edu.cn.




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