Machine Learning for Quantum Matter III

Presentations

• Frustrated magnets and fermions with Neural Network Quantum States

  Invited

  March 5, 2020, 10:00 AM – March 5, 2020, 10:36 AM

  Presenters

  • Kenny Jing Choo

    Univ of Zurich, University of Zurich

  Authors

  • Kenny Jing Choo

    Univ of Zurich, University of Zurich

  • Antonio Mezzacapo

    IBM T.J. Watson Research Center, IBM, IBM TJ Watson Research Center

  • Titus Neupert

    Univ of Zurich, University of Zurich, Department of Physics, University of Zurich, Physics, University of Zurich

  • Giuseppe Carleo

    Center for Computational Quantum Physics, Flatiron Institute, Flatiron Institute

  View abstract →

• Learning the Ground State Wavefunction of Periodic Systems Using Recurrent Neural Networks

  ORAL

  March 5, 2020, 10:36 AM – March 5, 2020, 10:48 AM

  Presenters

  • Christopher Roth

    University of Texas at Austin

  Authors

  • Christopher Roth

    University of Texas at Austin

  • Allan MacDonald

    University of Texas at Austin, Physics, University of Texas at Austin, Department of Physics, University of Texas at Austin, Department of Physics, The University of Texas at Austin

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• Calculating Renyi Entropies with Neural Autoregressive Quantum States

  ORAL

  March 5, 2020, 10:48 AM – March 5, 2020, 11:00 AM

  Presenters

  • Zhaoyou Wang

    Stanford Univ

  Authors

  • Zhaoyou Wang

    Stanford Univ

  • Emily J Davis

    Stanford Univ

  View abstract →

• Probabilistic Simulation of Quantum Circuits with the Transformer

  ORAL

  March 5, 2020, 11:00 AM – March 5, 2020, 11:12 AM

  Presenters

  • Di Luo

    University of Illinois at Urbana-Champaign

  Authors

  • Juan Carrasquilla

    Vector Institute, Vector Institute for Artificial Intelligence

  • Di Luo

    University of Illinois at Urbana-Champaign

  • Felipe Perez

    Layer6 AI

  • Bryan Clark

    University of Illinois at Urbana-Champaign

  • Ashley Milsted

    Perimeter Institute for Theoretical Physics

  • Maksims Volkovs

    Layer6 AI

  • Mario Aolita

    Universidade Federal do Rio de Janeiro

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• Variational optimization in the AI era

  Invited

  March 5, 2020, 11:12 AM – March 5, 2020, 11:48 AM

  Presenters

  • Bryan Clark

    University of Illinois at Urbana-Champaign

  Authors

  • Bryan Clark

    University of Illinois at Urbana-Champaign

  • Dmitrii Kochkov

    University of Illinois at Urbana-Champaign

  • Di Luo

    University of Illinois at Urbana-Champaign

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• Deep neural network solution of the electronic Schrödinger equation

  ORAL

  March 5, 2020, 11:48 AM – March 5, 2020, 12:00 PM

  Presenters

  • Jan Hermann

    Free University of Berlin

  Authors

  • Jan Hermann

    Free University of Berlin

  • Zeno Schätzle

    Free University of Berlin

  • Frank Noe

    Free University of Berlin

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• Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

  ORAL

  March 5, 2020, 12:00 PM – March 5, 2020, 12:12 PM

  Presenters

  • James Spencer

    DeepMind

  Authors

  • James Spencer

    DeepMind

  • David Pfau

    DeepMind

  • Alex Matthews

    DeepMind

  • W Matthew C Foulkes

    Physics, Imperial College London

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• Towards neural network quantum states with nonabelian symmetries

  ORAL

  March 5, 2020, 12:12 PM – March 5, 2020, 12:24 PM

  Presenters

  • Tom Vieijra

    Department of Physics and Astronomy, Ghent University, Ghent University

  Authors

  • Tom Vieijra

    Department of Physics and Astronomy, Ghent University, Ghent University

  • Corneel Casert

    Department of Physics and Astronomy, Ghent University, Ghent University

  • Jannes Nys

    Department of Physics and Astronomy, Ghent University

  • Wesley De Neve

    Center for Biotech Data Science, Ghent University Global Campus

  • Jutho Haegeman

    Department of Physics and Astronomy, Ghent University

  • Jan Ryckebusch

    Department of Physics and Astronomy, Ghent University, Ghent University

  • Frank Verstraete

    Department of Physics and Astronomy, Ghent University

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• Designing neural networks for stationary states in open quantum many-body systems

  ORAL

  March 5, 2020, 12:24 PM – March 5, 2020, 12:36 PM

  Presenters

  • Nobuyuki Yoshioka

    Department of Physics, University of Tokyo, University of Tokyo

  Authors

  • Nobuyuki Yoshioka

    Department of Physics, University of Tokyo, University of Tokyo

  • Ryusuke Hamazaki

    Physics, University of Tokyo, Department of Physics, University of Tokyo

  View abstract →

• Deep Learning-Enhanced Variational Monte Carlo Method for Quantum Many-Body Physics

  ORAL

  March 5, 2020, 12:36 PM – March 5, 2020, 12:48 PM

  Presenters

  • Li Yang

    Google Research, Rice Univ

  Authors

  • Li Yang

    Google Research, Rice Univ

  • Zhaoqi Leng

    Physics, Princeton University, Princeton University

  • Li Li

    Google Research

  • Ankit Patel

    Rice University, Rice Univ

  • Wenjun Hu

    University of Tennessee

  • Han Pu

    Rice University, Department of Physics and Astronomy, Rice University, Rice Univ

  View abstract →