Machine Learning in Condensed Matter Physics III

FOCUS · P34

Presentations

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

    ORAL

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    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

    View abstract →

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

    ORAL

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    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

    View abstract →

  • Machine Learning Topological Invariants with Neural Networks

    ORAL

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    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 Z<sub>2</sub> Quantum Spin Liquids with Quasi-particle Statistics

    ORAL

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    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

    View abstract →

  • Machine learning inverse problem for topological photonics.

    ORAL

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    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

    View abstract →

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

    ORAL

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    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

    View abstract →

  • Entanglement Entropy From Tensor Network States for Stabilizer Codes

    ORAL

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    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

    View abstract →

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

    ORAL

    –

    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 →