Machine Learning Quantum States III
FOCUS · H18
Presentations
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Hybrid neural network - quantum simulator
Invited
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Presenters
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Giacomo Torlai
Center for Computational Quantum Physics, Flatiron Institute
Authors
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Giacomo Torlai
Center for Computational Quantum Physics, Flatiron Institute
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Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation
ORAL
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Presenters
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Evert Van Nieuwenburg
Caltech
Authors
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Ryan Sweke
Dahlem Center for Complex Quantum Systems, Freie Universitaet Berlin
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Markus Kesselring
Dahlem Center for Complex Quantum Systems, Freie Universitaet Berlin
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Evert Van Nieuwenburg
Caltech
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Jens Eisert
Dahlem Center for Complex Quantum Systems, Freie Universitaet Berlin
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The recoverable quantum information: A smart reward for reinforcement learning of quantum error correction
ORAL
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Presenters
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Thomas Foesel
Max Planck Institute for the Science of Light
Authors
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Thomas Foesel
Max Planck Institute for the Science of Light
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Petru Tighineanu
Max Planck Institute for the Science of Light
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Talitha Weiss
IQOQI, University of Innsbruck, Institute for Quantum Optics and Quantum Information
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Florian Marquardt
Max Planck Institute for the Science of Light, Max Planck Institute for the Science of Light, Staudtstrasse 2, 91058 Erlangen, Germany
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Quantum error correction for the Toric code using Deep reinforcement learning
ORAL
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Presenters
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Mats Granath
University of Gothenburg
Authors
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Philip Andreasson
University of Gothenburg
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Simon Liljestrand
University of Gothenburg
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Joel Johansson
University of Gothenburg
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Mats Granath
University of Gothenburg
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Restricted Boltzmann Machines and Matrix Product States of 1D Translational Invariant Stabilizer Codes
ORAL
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Presenters
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Yunqin Zheng
Princeton University
Authors
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Yunqin Zheng
Princeton University
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Huan He
Princeton University
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Nicolas Regnault
ENS Paris-CNRS, Laboratoire Pierre Aigrain, Laboratoire Pierre Aigrain, Ecole normale superieure
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Andrei B Bernevig
Princeton University, Physics, Princeton University, Department of Physics, Princeton University
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Neural loop algorithm for square ice model
ORAL
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Presenters
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Ying-Jer Kao
Department of Physics, National Taiwan University, National Taiwan University, Physics, National Taiwan University
Authors
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Ying-Jer Kao
Department of Physics, National Taiwan University, National Taiwan University, Physics, National Taiwan University
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Kai-Wen Zhao
National Taiwan University
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Wen-Han Kao
National Taiwan University
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Variational optimization in the AI era: supervised wave-function optimization and computational graph states.
ORAL
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Presenters
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Dmitrii Kochkov
Physics, University of Illinois at Urbana Champaign, Physics, University of Illinois at Urbana-Champaign
Authors
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Dmitrii Kochkov
Physics, University of Illinois at Urbana Champaign, Physics, University of Illinois at Urbana-Champaign
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Bryan Clark
University of Illinois at Urbana-Champaign, Physics, University of Illinois at Urbana Champaign, Physics, University of Illinois at Urbana-Champaign
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Generalized Transfer Matrix States from Artificial Neural Networks
ORAL
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Presenters
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Lorenzo Pastori
Institute of Theoretical Physics, TU Dresden
Authors
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Lorenzo Pastori
Institute of Theoretical Physics, TU Dresden
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Raphael Kaubruegger
Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences
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Jan Carl Budich
Institute of Theoretical Physics, TU Dresden, TU Dresden
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Construction of Hamiltonians by supervised learning of energy spectra
ORAL
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Presenters
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Sho Sugiura
Physics, Harvard University
Authors
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Hiroyuki Fujita
Institute for Solid State Physics, University of Tokyo
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Yuya Nakagawa
Institute for Solid State Physics, University of Tokyo
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Sho Sugiura
Physics, Harvard University
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Masaki Oshikawa
Institute for Solid State Physics, University of Tokyo, Univ of Tokyo-Kashiwanoha
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Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions
ORAL
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Presenters
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Di Luo
University of Illinois at Urbana-Champaign
Authors
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Di Luo
University of Illinois at Urbana-Champaign
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Bryan Clark
University of Illinois at Urbana-Champaign, Physics, University of Illinois at Urbana Champaign, Physics, University of Illinois at Urbana-Champaign
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Contrasting the Building Blocks of Grain Boundaries using Local vs. Multi-Scale Universal Descriptors
ORAL
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Presenters
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Derek Hensley
Brigham Young University
Authors
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Derek Hensley
Brigham Young University
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Conrad W Rosenbrock
Brigham Young University
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Andrew H Nguyen
Brigham Young University
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Gus Hart
Brigham Young University, Physics and Astronomy, Brigham Young University
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Eric Homer
Brigham Young University
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