Machine Learning in Condensed Matter Physics III

Presentations

• Machine learning quantum states and many-body entanglement

  Invited

  March 7, 2018, 2:30 PM – March 7, 2018, 3:06 PM

  Presenters

  • Dong-Ling Deng

    • Univ of Maryland-College Park

  Authors

  • Dong-Ling Deng

    • Univ of Maryland-College Park

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• Restricted-Boltzmann-Machine Learning for Solving Hubbard and Heisenberg Models

  ORAL

  March 7, 2018, 3:06 PM – March 7, 2018, 3:18 PM

  Presenters

  • Yusuke Nomura

    • Department of Applied Physics, University of Tokyo

  Authors

  • Yusuke Nomura

    • Department of Applied Physics, University of Tokyo

  • Andrew Darmawan

    • Department of Applied Physics, University of Tokyo

  • Youhei Yamaji

    • Univ of Tokyo
    • Department of Applied Physics, University of Tokyo

  • Masatoshi Imada

    • Department of Applied Physics, University of Tokyo
    • Univ of Tokyo

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• Applications of multilayer convolutional neural network to quantum phase transitions in disordered topological and non-topological systems

  ORAL

  March 7, 2018, 3:18 PM – March 7, 2018, 3:30 PM

  Presenters

  • Tomi Ohtsuki

    • Physics Division, Sophia Univ
    • Department of Physics, Sophia University

  Authors

  • Tomi Ohtsuki

    • Physics Division, Sophia Univ
    • Department of Physics, Sophia University

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• Machine Learning Entanglement Structure of Disordered Topological Phases and Competing Orders

  ORAL

  March 7, 2018, 3:30 PM – March 7, 2018, 3:42 PM

  Presenters

  • Michael Matty

    • Cornell University

  Authors

  • Michael Matty

    • Cornell University

  • Yi Zhang

    • Department of Physics, Cornell University
    • Cornell University

  • Zlatko Papic

    • University of Leeds
    • Physics, University of Leeds
    • Theoretical Physics, Univ of Leeds

  • Eun-Ah Kim

    • Cornell University
    • Cornell Univ
    • Department of Physics, Cornell University
    • Physics, Cornell University

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• Machine Learning Disordered Topological Phases by Statistical Recovery of Symmetry

  ORAL

  March 7, 2018, 3:42 PM – March 7, 2018, 3:54 PM

  Presenters

  • Nobuyuki Yoshioka

    • Department of Physics, The University of Tokyo

  Authors

  • Nobuyuki Yoshioka

    • Department of Physics, The University of Tokyo

  • Yutaka Akagi

    • Department of Physics, The University of Tokyo

  • Hosho Katsura

    • Department of Physics, University of Tokyo
    • Department of Physics, The University of Tokyo

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• Machine Learning Topological Invariants with Neural Networks

  ORAL

  March 7, 2018, 3:54 PM – March 7, 2018, 4:06 PM

  Presenters

  • P. Zhang

    • Institute for Advanced Study, Tsinghua University

  Authors

  • P. Zhang

    • Institute for Advanced Study, Tsinghua University

  • Huitao Shen

    • Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Inst of Tech-MIT
    • Physics, Massachusetts inst of Tech
    • MIT

  • Hui Zhai

    • Institute for Advanced Study, Tsinghua University
    • physics, Tsinghua Univ
    • Tsinghua Univ

  View abstract →

• Machine Learning Z₂ Quantum Spin Liquids with Quasi-particle Statistics

  ORAL

  March 7, 2018, 4:06 PM – March 7, 2018, 4:18 PM

  Presenters

  • Yi Zhang

    • Department of Physics, Cornell University
    • Cornell University

  Authors

  • Yi Zhang

    • Department of Physics, Cornell University
    • Cornell University

  • Roger Melko

    • Perimeter Institute for Theoretical Physics
    • University of Waterloo
    • Univ of Waterloo

  • Eun-Ah Kim

    • Cornell University
    • Cornell Univ
    • Department of Physics, Cornell University
    • Physics, Cornell University

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• Machine learning inverse problem for topological photonics.

  ORAL

  March 7, 2018, 4:18 PM – March 7, 2018, 4:30 PM

  Presenters

  • Claudio Conti

    • Institute for Complex Systems, National Research Council

  Authors

  • Laura Pilozzi

    • Institute for Complex Systems, National Research Council

  • Giulia Marcucci

    • Physics, Sapienza University of Rome

  • Francis Farrelly

    • Institute for Complex Systems, National Research Council

  • Claudio Conti

    • Institute for Complex Systems, National Research Council

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• Sparse Representation of Wannier functions from <i>L</i>₁ regulariztion

  ORAL

  March 7, 2018, 4:30 PM – March 7, 2018, 4:42 PM

  Presenters

  • Jiatong Chen

    • Materials Science and Engineering, University of California Los Angeles
    • Materials Science and Engineering, UCLA

  Authors

  • Jiatong Chen

    • Materials Science and Engineering, University of California Los Angeles
    • Materials Science and Engineering, UCLA

  • Ke Yin

    • Center for Mathematical Sciences, Huazhong University of Science and Technology

  • Yi Xia

    • Argonne National Lab
    • Argonne National Laboratory

  • Vidvuds Ozolins

    • Applied Physics, Yale University
    • Yale University
    • Yale Univ
    • Applied Physics, Yale Univ
    • Applied physics, Yale University

  • Stanley Osher

    • Mathematics, University of California Los Angeles

  • Russel Caflisch

    • Courant Institute, New York University

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• Free Energy–Based Reinforcement Learning Using Quantum Monte Carlo and Quantum Annealing

  ORAL

  March 7, 2018, 4:42 PM – March 7, 2018, 4:54 PM

  Presenters

  • Pooya Ronagh

    • Institute for Quantum Computing, University of Waterloo

  Authors

  • Pooya Ronagh

    • Institute for Quantum Computing, University of Waterloo

  • Anna Levit

    • 1QBit

  • Daniel Crawford

    • 1QBit

  • Navid Ghadermarzy

    • Mathematics Department, University of British Columbia

  • Jaspreet Oberoi

    • 1QBit

  • Ehsan Zahedinejad

    • 1QBit

  View abstract →

• Entanglement Entropy From Tensor Network States for Stabilizer Codes

  ORAL

  March 7, 2018, 4:54 PM – March 7, 2018, 5:06 PM

  Presenters

  • Huan He

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  Authors

  • Huan He

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  • Yunqin Zheng

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  • Andrei Bernevig

    • Physics Department, Princeton University
    • Department of Physics, Princeton University
    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University
    • Physics, Princeton

  • Nicolas Regnault

    • Ecole Normale Superieure
    • Laboratoire Pierre Aigrain, Ecole Normale Superieure Paris

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• Structure of the Entanglement Entropy of (3+1)D Gapped Phases of Matter

  ORAL

  March 7, 2018, 5:06 PM – March 7, 2018, 5:18 PM

  Presenters

  • Yunqin Zheng

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  Authors

  • Yunqin Zheng

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  • Huan He

    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University

  • Barry Bradlyn

    • Princeton Center for Theoretical Science, Princeton University

  • Jennifer Cano

    • Princeton Center for Theoretical Science, Princeton University

  • Titus Neupert

    • University of Zurich
    • Department of Physics, University of Zurich
    • U. of Zurich

  • Andrei Bernevig

    • Physics Department, Princeton University
    • Department of Physics, Princeton University
    • Physics Department, Princeton Univ
    • Physics, Princeton University
    • Princeton University
    • Physics, Princeton

  View abstract →