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Machine Learning for Quantum Matter IV

FOCUS · E21 · ID: 381555

Presentations

  • Learning Algorithms for Control and Characterization of Quantum Matter

    Invited

    –

    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

    –

    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

    –

    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

    –

    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

    –

    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 →

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

    ORAL

    –

    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 →