Machine Learning for Quantum Matter III

Presentations

• Frustrated magnets and fermions with Neural Network Quantum States

  Invited

  March 5, 2020, 8:00 AM – March 5, 2020, 8:36 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, 8:36 AM – March 5, 2020, 8:48 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

  View abstract →

• Calculating Renyi Entropies with Neural Autoregressive Quantum States

  ORAL

  March 5, 2020, 8:48 AM – March 5, 2020, 9:00 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, 9:00 AM – March 5, 2020, 9:12 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

  View abstract →

• Variational optimization in the AI era

  Invited

  March 5, 2020, 9:12 AM – March 5, 2020, 9:48 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

  View abstract →

• Deep neural network solution of the electronic Schrödinger equation

  ORAL

  March 5, 2020, 9:48 AM – March 5, 2020, 10:00 AM

  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

  View abstract →

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

  ORAL

  March 5, 2020, 10:00 AM – March 5, 2020, 10:12 AM

  Presenters

  • James Spencer

    • DeepMind

  Authors

  • James Spencer

    • DeepMind

  • David Pfau

    • DeepMind

  • Alex Matthews

    • DeepMind

  • W Matthew C Foulkes

    • Physics, Imperial College London

  View abstract →

• Towards neural network quantum states with nonabelian symmetries

  ORAL

  March 5, 2020, 10:12 AM – March 5, 2020, 10:24 AM

  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

  View abstract →

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

  ORAL

  March 5, 2020, 10:24 AM – March 5, 2020, 10:36 AM

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

  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 →