Machine Learning Quantum States I

Presentations

• Learning quantum states with generative models

  Invited

  March 5, 2019, 8:00 AM – March 5, 2019, 8:36 AM

  Presenters

  • Juan Carrasquilla

    • Vector Institute for Artificial Intelligence, Toronto (Canada)
    • Vector Institute

  Authors

  • Juan Carrasquilla

    • Vector Institute for Artificial Intelligence, Toronto (Canada)
    • Vector Institute

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• Machine Learning Holography in Neural Network Renormalization Group

  ORAL

  March 5, 2019, 8:36 AM – March 5, 2019, 8:48 AM

  Presenters

  • Hongye Hu

    • University of California, San Diego

  Authors

  • Hongye Hu

    • University of California, San Diego

  • Shuo-Hui Li

    • Institute of Physics, Chinese Academy of Sciences
    • Institute of Physics

  • Lei Wang

    • Institute of Physics
    • Institute of Physics, Chinese Academy of Sciences
    • Institute of Physics Chinese Academy of Sciences

  • Yizhuang You

    • University of California, San Diego
    • Department of Physics, Harvard University
    • Physics, University of California, San Diego
    • Department of Physics, University of California, San Diego
    • Harvard University
    • UCSD

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• ABSTRACT WITHDRAWN

  COFFEE_KLATCH

  March 5, 2019, 8:48 AM – March 5, 2019, 9:00 AM

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• Analytic continuation by combining sparse modeling with the Pade approximation

  ORAL

  March 5, 2019, 9:00 AM – March 5, 2019, 9:12 AM

  Presenters

  • Yuichi Motoyama

    • Univ of Tokyo-Kashiwanoha
    • ISSP, University of Tokyo

  Authors

  • Yuichi Motoyama

    • Univ of Tokyo-Kashiwanoha
    • ISSP, University of Tokyo

  • Kazuyoshi Yoshimi

    • Univ of Tokyo-Kashiwanoha
    • ISSP, University of Tokyo

  • Junya Otsuki

    • Tohoku University

  • Hiroshi Shinaoka

    • Saitama University

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• A machine learning approach to excited states of quantum many-body systems

  ORAL

  March 5, 2019, 9:12 AM – March 5, 2019, 9:24 AM

  Presenters

  • Douglas Hendry

    • Northeastern University

  Authors

  • Douglas Hendry

    • Northeastern University

  • Adrian Feiguin

    • Physics, Northeastern University
    • Northeastern University

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• Machine Learning Spatial Geometry from Entanglement Features

  ORAL

  March 5, 2019, 9:24 AM – March 5, 2019, 9:36 AM

  Presenters

  • Yizhuang You

    • University of California, San Diego
    • Department of Physics, Harvard University
    • Physics, University of California, San Diego
    • Department of Physics, University of California, San Diego
    • Harvard University
    • UCSD

  Authors

  • Yizhuang You

    • University of California, San Diego
    • Department of Physics, Harvard University
    • Physics, University of California, San Diego
    • Department of Physics, University of California, San Diego
    • Harvard University
    • UCSD

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• Machine learning many-body localization: Search for the elusive nonergodic metal

  ORAL

  March 5, 2019, 9:36 AM – March 5, 2019, 9:48 AM

  Presenters

  • Xiao Li

    • University of Maryland

  Authors

  • Xiao Li

    • University of Maryland

  • Yi-Ting Hsu

    • Physics, University of Maryland, College Park
    • University of Maryland

  • Dong-Ling Deng

    • Institute for Interdisciplinary Information Sciences, Tsinghua University
    • Tsinghua University
    • University of Maryland

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• Machine learning of condensed-matter phases with physical interpretability

  ORAL

  March 5, 2019, 9:48 AM – March 5, 2019, 10:00 AM

  Presenters

  • Ming Han

    • Northwestern University

  Authors

  • Ming Han

    • Northwestern University

  • Zonghui Wei

    • Northwestern University

  • Erik Luijten

    • Northwestern University

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• Interpretable Machine Learning Study of Many-Body Localization Transition in Disordered Quantum Spin Chains

  ORAL

  March 5, 2019, 10:00 AM – March 5, 2019, 10:12 AM

  Presenters

  • Wei Zhang

    • Boston College

  Authors

  • Wei Zhang

    • Boston College

  • Lei Wang

    • Institute of Physics
    • Institute of Physics, Chinese Academy of Sciences
    • Institute of Physics Chinese Academy of Sciences

  • Ziqiang Wang

    • Department of Physics, Boston College
    • Boston College
    • Physics, Boston College

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• Analytic continuation via “domain-knowledge free” machine learning

  ORAL

  March 5, 2019, 10:12 AM – March 5, 2019, 10:24 AM

  Presenters

  • Hongkee Yoon

    • Department of Physics, KAIST
    • Department of Physics, Korea Advanced Institute of Science and Technology (KAIST)

  Authors

  • Hongkee Yoon

    • Department of Physics, KAIST
    • Department of Physics, Korea Advanced Institute of Science and Technology (KAIST)

  • Jae-Hoon Sim

    • Department of Physics, KAIST

  • Myung Joon Han

    • Department of Physics, KAIST
    • Department of Physics, Korea Advanced Institute of Science and Technology (KAIST)

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• Monte Carlo Renormalization Group for Systems with Quenched Disorder

  ORAL

  March 5, 2019, 10:24 AM – March 5, 2019, 10:36 AM

  Presenters

  • Yantao Wu

    • Princeton University

  Authors

  • Yantao Wu

    • Princeton University

  • Roberto Car

    • Princeton University
    • Chemistry, Princeton University

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