Machine learning for quantum matter V

Presentations

• Nicholas Metropolis Award Talk: Enhancing Quantum Simulators with Neural Networks

  Invited

  March 5, 2020, 2:30 PM – March 5, 2020, 3:06 PM

  Presenters

  • Giacomo Torlai

    • Simons Foundation
    • Center for Computational Quantum Physics, Flatiron Institute
    • Flatiron Institute

  Authors

  • Giacomo Torlai

    • Simons Foundation
    • Center for Computational Quantum Physics, Flatiron Institute
    • Flatiron Institute

  View abstract →

• Topological codes revisited: Hamiltonian learning and topological phase transitions

  ORAL

  March 5, 2020, 3:06 PM – March 5, 2020, 3:18 PM

  Presenters

  • Eliska Greplova

    • ETH Zurich

  Authors

  • Eliska Greplova

    • ETH Zurich

  • Agnes Valenti

    • ETH Zurich

  • Evert Van Nieuwenburg

    • IQIM, Caltech
    • Caltech
    • Physics, California Institute ot Technology

  • Gregor Boschung

    • ETH Zurich

  • Frank Schäfer

    • University of Basel

  • Niels Loerch

    • University of Basel

  • Sebastian Huber

    • ETH Zurich

  View abstract →

• Real time evolution with neural network quantum states

  ORAL

  March 5, 2020, 3:18 PM – March 5, 2020, 3:30 PM

  Presenters

  • Irene Lopez Gutierrez

    • TU Munich

  Authors

  • Irene Lopez Gutierrez

    • TU Munich

  • Christian Mendl

    • TU Munich

  View abstract →

• Hunting for Hamiltonians with a General-Purpose Symmetry-to-Hamiltonian Approach

  ORAL

  March 5, 2020, 3:30 PM – March 5, 2020, 3:42 PM

  Presenters

  • Eli Chertkov

    • University of Illinois at Urbana-Champaign

  Authors

  • Eli Chertkov

    • University of Illinois at Urbana-Champaign

  • Benjamin Villalonga

    • University of Illinois at Urbana-Champaign

  • Bryan Clark

    • University of Illinois at Urbana-Champaign

  View abstract →

• Studying inhomogeneous quantum many-body problems using neural networks

  ORAL

  March 5, 2020, 3:42 PM – March 5, 2020, 3:54 PM

  Presenters

  • Alexander Blania

    • Max Planck Inst for Sci Light

  Authors

  • Alexander Blania

    • Max Planck Inst for Sci Light

  • Evert Van Nieuwenburg

    • IQIM, Caltech
    • Caltech
    • Physics, California Institute ot Technology

  • Florian Marquardt

    • Max Planck Inst for Sci Light
    • Max Planck Institute for the Science of Light

  View abstract →

• Calculating Wannier functions via basis pursuit using a machine learned dictionary

  ORAL

  March 5, 2020, 3:54 PM – March 5, 2020, 4:06 PM

  Presenters

  • Bradley Magnetta

    • Yale University

  Authors

  • Bradley Magnetta

    • Yale University

  • Vidvuds Ozolins

    • Yale University
    • Applied Physics, Yale University

  View abstract →

• Classical Quantum Optimization with Neural Network Quantum States

  ORAL

  March 5, 2020, 4:06 PM – March 5, 2020, 4:18 PM

  Presenters

  • Joseph Gomes

    • The University of Iowa

  Authors

  • Joseph Gomes

    • The University of Iowa

  View abstract →

• Solving frustrated quantum many-particle models with convolutional neural networks

  ORAL

  March 5, 2020, 4:18 PM – March 5, 2020, 4:30 PM

  Presenters

  • Xiao Liang

    • Institute for Advanced Study, Tsinghua University

  Authors

  • Xiao Liang

    • Institute for Advanced Study, Tsinghua University

  View abstract →

• Quantum dynamics in driven spin systems with neural-network quantum states

  ORAL

  March 5, 2020, 4:30 PM – March 5, 2020, 4:42 PM

  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

  • Giuseppe Carleo

    • Center for Computational Quantum Physics, Flatiron Institute, New York, NY, USA
    • Flatiron Institute

  • Angel Rubio

    • Theory Department, Max Planck Institute for the Structure and Dynamics of Matter
    • Center for Computational Quantum Physics (CCQ), The Flatiron Institute
    • Max Planck Institute for Structure and Dynamics of Matter
    • Department of Physics, Columbia University, New York, New York 10027, USA
    • Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
    • Max Planck Institute for the Structure and Dynamics of Matter
    • Structure and Dynamics of Matter, Max Planck Institute
    • Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
    • Max Planck Inst Structure & Dynamics of Matter
    • Max Planck Institue for the Structure and Dynamics of Matter
    • Theory, Max Planck Institute for the Structure & Dynamics of Matter

  • Michael Sentef

    • Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
    • Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
    • Max Planck Inst Structure & Dynamics of Matter
    • Max Planck Institute for the Structure and Dynamics of Matter

  View abstract →

• Study of phi-4 theories with deep learning methods

  ORAL

  March 5, 2020, 4:42 PM – March 5, 2020, 4:54 PM

  Presenters

  • Zhong Yuan Lai

    • Fudan Univ

  Authors

  • Zhong Yuan Lai

    • Fudan Univ

  • Francisco Costa Meirinhos

    • Department of Physics, University of Bonn

  • Xiaopeng Li

    • Department of Physics, Fudan University
    • Fudan Univ

  View abstract →

• Unsupervised machine learning for accelerating discoveries from temperature dependent X-ray data

  ORAL

  March 5, 2020, 4:54 PM – March 5, 2020, 5:06 PM

  Presenters

  • Jordan Venderley

    • Cornell University

  Authors

  • Jordan Venderley

    • Cornell University

  • Michael Matty

    • Physics, Cornell University
    • Cornell University

  • Varsha Kishore

    • Cornell University

  • Geoff Pleiss

    • Cornell University

  • Kilian Weinberger

    • Cornell University

  • Eun-Ah Kim

    • Cornell University

  View abstract →

• Machine learning effective models for quantum systems

  ORAL

  March 5, 2020, 5:06 PM – March 5, 2020, 5:18 PM

  Presenters

  • Andrew Mitchell

    • Univ Coll Dublin
    • Physics, University College Dublin
    • School of Physics, University College Dublin

  Authors

  • Andrew Mitchell

    • Univ Coll Dublin
    • Physics, University College Dublin
    • School of Physics, University College Dublin

  • Jonas Rigo

    • Univ Coll Dublin

  View abstract →