Machine Learning for Quantum Matter IV

Presentations

• Learning Algorithms for Control and Characterization of Quantum Matter

  Invited

  March 16, 2021, 8:00 AM – March 16, 2021, 8:36 AM

  Presenters

  • Eliska Greplova

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

  Authors

  • Eliska Greplova

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

  • Guliuxin Jin

    • Institute for Theoretical Physics, ETH Zurich

  • Agnes Valenti

    • Institute for Theoretical Physics, ETH Zurich

  • Jozef Bucko

    • Institute for Theoretical Physics, ETH Zurich

  • Imelda Romero

    • Institute for Theoretical Physics, ETH Zurich

  • Frank Schäfer

    • Department of Physics, University of Basel
    • University of Basel

  • Sebastian Huber

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

  View abstract →

• Deep neural networks for quantum state characterization, part 1: classification

  ORAL

  March 16, 2021, 8:36 AM – March 16, 2021, 8:48 AM

  Presenters

  • Anton Frisk Kockum

    • Department of Microtechnology and Nanoscience, Chalmers University of Technology
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  Authors

  • Shahnawaz Ahmed

    • Chalmers, Sweden; and RIKEN, Japan
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  • Carlos Sánchez Muñoz

    • Departamento de Fisica Teorica de la Materia Condensada and Condensed Matter Physics Center (IFIMAC), Universidad Autonoma de Madrid, Madrid, Spain

  • Franco Nori

    • RIKEN, Japan and Univ. Michigan, USA
    • RIKEN, Japan
    • RIKEN; and Univ. Michigan.
    • RIKEN, Japan; and Univ. Michigan, USA
    • Riken Japan and Univ. Michigan USA
    • RIKEN, Japan and Univ Michigan, USA
    • Theoretical Quantum Physics Laboratory, Department of Physics, RIKEN Cluster for Pioneering Research, The University of Michigan
    • RIKEN and Univ. of Michigan
    • Riken Japan and Univ Michigan USA
    • RIKEN; and University of Michigan
    • RIKEN and Univ. Michigan
    • RIKEN and Univ of Michigan
    • Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan
    • RIKEN, and University of Michigan
    • Theoretical Quantum Physics, Riken, Japan
    • RIKEN, Japan; and Univ Michigan, USA
    • Theoretical Quantum Physics Laboratory, RIKEN
    • RIKEN, Japan; Univ. Michigan, USA
    • RIKEN, Japan; Uni. Michigan, USA

  • Anton Frisk Kockum

    • Department of Microtechnology and Nanoscience, Chalmers University of Technology
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  View abstract →

• Deep neural networks for quantum state characterization, part 2: reconstruction

  ORAL

  March 16, 2021, 8:48 AM – March 16, 2021, 9:00 AM

  Presenters

  • Shahnawaz Ahmed

    • Chalmers, Sweden; and RIKEN, Japan
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  Authors

  • Shahnawaz Ahmed

    • Chalmers, Sweden; and RIKEN, Japan
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  • Carlos Sánchez Muñoz

    • Departamento de Fisica Teorica de la Materia Condensada and Condensed Matter Physics Center (IFIMAC), Universidad Autonoma de Madrid, Madrid, Spain

  • Franco Nori

    • RIKEN, Japan and Univ. Michigan, USA
    • RIKEN, Japan
    • RIKEN; and Univ. Michigan.
    • RIKEN, Japan; and Univ. Michigan, USA
    • Riken Japan and Univ. Michigan USA
    • RIKEN, Japan and Univ Michigan, USA
    • Theoretical Quantum Physics Laboratory, Department of Physics, RIKEN Cluster for Pioneering Research, The University of Michigan
    • RIKEN and Univ. of Michigan
    • Riken Japan and Univ Michigan USA
    • RIKEN; and University of Michigan
    • RIKEN and Univ. Michigan
    • RIKEN and Univ of Michigan
    • Theoretical Quantum Physics Laboratory, RIKEN Cluster for Pioneering Research, Wako-shi, Saitama 351-0198, Japan
    • RIKEN, and University of Michigan
    • Theoretical Quantum Physics, Riken, Japan
    • RIKEN, Japan; and Univ Michigan, USA
    • Theoretical Quantum Physics Laboratory, RIKEN
    • RIKEN, Japan; Univ. Michigan, USA
    • RIKEN, Japan; Uni. Michigan, USA

  • Anton Frisk Kockum

    • Department of Microtechnology and Nanoscience, Chalmers University of Technology
    • Chalmers Univ of Tech
    • Microtechnology and Nanoscience, Chalmers University of Technology, Sweden

  View abstract →

• Chebyshev expansion of spectral functions using restricted Boltzmann machines

  ORAL

  March 16, 2021, 9:00 AM – March 16, 2021, 9:12 AM

  Presenters

  • Hongwei Chen

    • Northeastern University

  Authors

  • Hongwei Chen

    • Northeastern University

  • Douglas Hendry

    • Northeastern University

  • Phillip Weinberg

    • Northeastern University
    • Physics, Northeastern University

  • Adrian Feiguin

    • Northeastern University
    • Physics, Northeastern University
    • Department of Physics, Northeastern University

  View abstract →

• Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data

  ORAL

  March 16, 2021, 9:12 AM – March 16, 2021, 9:24 AM

  Presenters

  • Cole Miles

    • Department of Physics, Cornell University

  Authors

  • Cole Miles

    • Department of Physics, Cornell University

  • Annabelle Bohrdt

    • Department of Physics, Harvard University
    • Tech Univ Muenchen

  • Ruihan Wu

    • Department of Computer Science, Cornell University

  • Christie Chiu

    • Department of Electrical Engineering and Princeton Center for Complex Materials, Princeton University
    • Princeton University
    • Department of Electrical Engineering, Princeton University

  • Muqing Xu

    • Department of Physics, Harvard University

  • Geoffrey Ji

    • Department of Physics, Harvard University

  • Markus Greiner

    • Harvard University
    • Department of Physics, Harvard University

  • Kilian Q Weinberger

    • Cornell University
    • Department of Computer Science, Cornell University

  • Eugene Demler

    • Harvard University
    • Department of Physics, Harvard University

  • Eun-Ah Kim

    • Cornell University
    • Department of Physics, Cornell University

  View abstract →

• Variational optimization in the AI era

  Invited

  March 16, 2021, 9:24 AM – March 16, 2021, 10:00 AM

  Presenters

  • Bryan Clark

    • University of Illinois at Urbana-Champaign

  Authors

  • Bryan Clark

    • University of Illinois at Urbana-Champaign

  View abstract →

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

  ORAL

  March 16, 2021, 10:00 AM – March 16, 2021, 10:12 AM

  Presenters

  • James Spencer

    • DeepMind

  Authors

  • James Spencer

    • DeepMind

  • David Pfau

    • DeepMind

  • Aleksander Botev

    • DeepMind

  • Alexander G. de G. Matthews

    • DeepMind

  • W Matthew C Foulkes

    • Dept. of Physics, Imperial College London

  View abstract →

• Fermionic lattice models with first-quantized deep neural-network quantum states

  ORAL

  March 16, 2021, 10:12 AM – March 16, 2021, 10:24 AM

  Presenters

  • Javier Robledo Moreno

    • Department of Physics, New York Univ NYU

  Authors

  • Javier Robledo Moreno

    • Department of Physics, New York Univ NYU

  • James Stokes

    • Flatiron Institute

  • Eftychios A. Pnevmatikakis

    • Flatiron Institute

  • 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

  View abstract →

• Approaching exact solutions of the electronic Schrödinger equation with deep quantum Monte Carlo

  ORAL

  March 16, 2021, 10:24 AM – March 16, 2021, 10:36 AM

  Presenters

  • Jan Hermann

    • Freie Universität Berlin
    • Freie Universität Berlin, Germany

  Authors

  • Jan Hermann

    • Freie Universität Berlin
    • Freie Universität Berlin, Germany

  • Zeno Schätzle

    • Freie Universität Berlin

  • Frank Noe

    • Freie Universität Berlin
    • Freie Univ Berlin

  View abstract →

• Unitary quantum process tomography by time-delayed measurements

  ORAL

  March 16, 2021, 10:36 AM – March 16, 2021, 10:48 AM

  Presenters

  • Irene Lopez Gutierrez

    • TU Munich

  Authors

  • Felix Dietrich

    • TU Munich

  • Irene Lopez Gutierrez

    • TU Munich

  • Christian Mendl

    • TU Munich

  View abstract →