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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