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Machine Learning for Quantum Matter I

FOCUS · A21 · ID: 381543

Presentations

  • Dynamics in correlated quantum matter with neural networks

    Invited

    –

    Presenters

    • Markus Heyl

      Max Planck Institute for the Physics of Complex Systems, Dresden, Max Planck Institute for the Physics of Complex Systems, Max-Planck-Institute for the Physics of Complex Systems, Max Planck Institute for Physics of Complex Systems

    Authors

    • Markus Schmitt

      University of California, Berkeley

    • Markus Heyl

      Max Planck Institute for the Physics of Complex Systems, Dresden, Max Planck Institute for the Physics of Complex Systems, Max-Planck-Institute for the Physics of Complex Systems, Max Planck Institute for Physics of Complex Systems

    View abstract →

  • Neural network enhanced hybrid quantum many-body dynamics

    ORAL

    –

    Presenters

    • Rouven Koch

      Aalto University

    Authors

    • Rouven Koch

      Aalto University

    • Jose Lado

      Department of Applied Physics, Aalto University, Aalto University, Applied Physics, Aalto University, Institut für Theoretische Physik, ETH Zürich, Zürich, Switzerland

    View abstract →

  • Customizable neural-network states for topological phases

    ORAL

    –

    Presenters

    • Agnes Valenti

      Institute for Theoretical Physics, ETH Zurich

    Authors

    • Agnes Valenti

      Institute for Theoretical Physics, ETH Zurich

    • Eliska Greplova

      Kavli Institute of Nanoscience, Delft University of Technology, Kavli Institute of Nanoscience, TU Delft

    • Netanel Lindner

      Department of Physics, Technion

    • Sebastian Huber

      Department of Physics, ETH Zurich, Institute for Theoretical Physics, ETH Zurich, ETH Zurich, Physics, ETH Zurich

    View abstract →

  • Variational Neural Annealing

    Invited

    –

    Presenters

    • Mohamed Hibat-Allah

      University of Waterloo, Vector Institute for Artificial Intelligence

    Authors

    • Mohamed Hibat-Allah

      University of Waterloo, Vector Institute for Artificial Intelligence

    • Estelle Inack

      Perimeter Inst for Theo Phys, Perimeter Institute

    • Roeland Cornelis Wiersema

      Vector Institute for Artificial Intelligence

    • Roger G Melko

      University of Waterloo

    • Juan Carrasquilla

      Vector Institute for Artificial Intelligence

    View abstract →

  • Hamiltonian reconstruction as metric for a variational study of the spin-1/2 J<sub>1</sub>-J<sub>2</sub> Heisenberg model

    ORAL

    –

    Presenters

    • Kevin Zhang

      Cornell University

    Authors

    • Kevin Zhang

      Cornell University

    • Samuel Lederer

      Cornell University

    • Kenny Jing Hui Choo

      University of Zurich, Univ of Zurich

    • Titus Neupert

      University of Zurich, Universität Zürich, Department of Physics, University of Zurich, Univ of Zurich, Physics, University of Zurich

    • Giuseppe Carleo

      Institute of Physics, EPFL, Swiss Federal Institute of Technology Lausanne, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, École polytechnique fédérale de Lausanne

    • Eun-Ah Kim

      Cornell University, Department of Physics, Cornell University

    View abstract →

  • Challenges for simulating quantum spin dynamics in two dimensions by neural network quantum states

    ORAL

    –

    Presenters

    • Damian Hofmann

      Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany

    Authors

    • Damian Hofmann

      Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany

    • Giammarco Fabiani

      Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands

    • Johan H Mentink

      Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands

    • Giuseppe Carleo

      Institute of Physics, EPFL, Swiss Federal Institute of Technology Lausanne, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, École polytechnique fédérale de Lausanne

    • Michael Sentef

      Max Planck Inst Structure & Dynamics of Matter, theory department, Max Planck Institute for the Structure and Dynamics of Matter, Theory, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany

    View abstract →

  • Gauge equivariant neural networks for quantum lattice gauge theories

    ORAL

    –

    Presenters

    • Di Luo

      University of Illinois at Urbana-Champaign

    Authors

    • Di Luo

      University of Illinois at Urbana-Champaign

    • Giuseppe Carleo

      Institute of Physics, EPFL, Swiss Federal Institute of Technology Lausanne, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, École polytechnique fédérale de Lausanne

    • Bryan Clark

      University of Illinois at Urbana-Champaign

    • James Stokes

      Flatiron Institute

    View abstract →

  • Quantum Ground States from Reinforcement Learning

    ORAL

    –

    Presenters

    • Ariel Barr

      Materials Science and Engineering, Massachusetts Institute of Technology

    Authors

    • Ariel Barr

      Materials Science and Engineering, Massachusetts Institute of Technology

    • Willem Gispen

      Physics, University of Cambridge

    • Austen Lamacraft

      Physics, University of Cambridge

    View abstract →