Machine Learning for Quantum Matter I
FOCUS · A21 · ID: 381543
Presentations
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Dynamics in correlated quantum matter with neural networks
Invited
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Presenters
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Markus Heyl
- Max Planck Institute for the Physics of Complex Systems, Dresden
- Max Planck Institute for the Physics of Complex Systems
- Max-Planck-Institute for the Physics of Complex Systems
- Max Planck Institute for Physics of Complex Systems
Authors
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Markus Schmitt
- University of California, Berkeley
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Markus Heyl
- Max Planck Institute for the Physics of Complex Systems, Dresden
- Max Planck Institute for the Physics of Complex Systems
- Max-Planck-Institute for the Physics of Complex Systems
- Max Planck Institute for Physics of Complex Systems
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Neural network enhanced hybrid quantum many-body dynamics
ORAL
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Presenters
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Rouven Koch
- Aalto University
Authors
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Rouven Koch
- Aalto University
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Jose Lado
- Department of Applied Physics, Aalto University
- Aalto University
- Applied Physics, Aalto University
- Institut für Theoretische Physik, ETH Zürich, Zürich, Switzerland
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Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
ORAL
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Presenters
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Zhuo Chen
- University of Illinois at Urbana-Champaign
Authors
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Di Luo
- University of Illinois at Urbana-Champaign
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Zhuo Chen
- University of Illinois at Urbana-Champaign
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Juan Carrasquilla
- Vector Institute for Artificial Intelligence
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Bryan Clark
- University of Illinois at Urbana-Champaign
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Customizable neural-network states for topological phases
ORAL
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Presenters
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Agnes Valenti
- Institute for Theoretical Physics, ETH Zurich
Authors
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Agnes Valenti
- Institute for Theoretical Physics, ETH Zurich
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Eliska Greplova
- Kavli Institute of Nanoscience, Delft University of Technology
- Kavli Institute of Nanoscience, TU Delft
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Netanel Lindner
- Department of Physics, Technion
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Sebastian Huber
- Department of Physics, ETH Zurich
- Institute for Theoretical Physics, ETH Zurich
- ETH Zurich
- Physics, ETH Zurich
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Variational Neural Annealing
Invited
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Presenters
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Mohamed Hibat-Allah
- University of Waterloo
- Vector Institute for Artificial Intelligence
Authors
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Mohamed Hibat-Allah
- University of Waterloo
- Vector Institute for Artificial Intelligence
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Estelle Inack
- Perimeter Inst for Theo Phys
- Perimeter Institute
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Roeland Cornelis Wiersema
- Vector Institute for Artificial Intelligence
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Roger G Melko
- University of Waterloo
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Juan Carrasquilla
- Vector Institute for Artificial Intelligence
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A Neural-Network approach to the simulation of Open Quantum Dynamics using POVMs
ORAL
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Presenters
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Moritz Reh
- Universität Heidelberg
Authors
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Moritz Reh
- Universität Heidelberg
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Martin Gaerttner
- University Heidelberg
- Kirchhoff Institute for Physics, Heidelberg University
- Universität Heidelberg
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Markus Schmitt
- University of California, Berkeley
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Hamiltonian reconstruction as metric for a variational study of the spin-1/2 J<sub>1</sub>-J<sub>2</sub> Heisenberg model
ORAL
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Presenters
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Kevin Zhang
- Cornell University
Authors
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Kevin Zhang
- Cornell University
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Samuel Lederer
- Cornell University
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Kenny Jing Hui Choo
- University of Zurich
- Univ of Zurich
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Titus Neupert
- University of Zurich
- Universität Zürich
- Department of Physics, University of Zurich
- Univ of Zurich
- Physics, University of Zurich
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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
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Eun-Ah Kim
- Cornell University
- Department of Physics, Cornell University
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Convolutional Neural Network Wave Functions: learning quantum many-body physics
ORAL
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Presenters
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Douglas Hendry
- Northeastern University
Authors
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Douglas Hendry
- Northeastern University
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Adrian Feiguin
- Northeastern University
- Physics, Northeastern University
- Department of Physics, Northeastern University
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Challenges for simulating quantum spin dynamics in two dimensions by neural network quantum states
ORAL
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Presenters
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Damian Hofmann
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
Authors
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Damian Hofmann
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
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Giammarco Fabiani
- Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands
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Johan H Mentink
- Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands
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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
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Michael Sentef
- Max Planck Inst Structure & Dynamics of Matter
- theory department, Max Planck Institute for the Structure and Dynamics of Matter
- Theory, Max Planck Institute for the Structure and Dynamics of Matter
- Max Planck Institute for the Structure and Dynamics of Matter
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg, Germany
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Gauge equivariant neural networks for quantum lattice gauge theories
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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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
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Bryan Clark
- University of Illinois at Urbana-Champaign
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James Stokes
- Flatiron Institute
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Quantum Ground States from Reinforcement Learning
ORAL
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Presenters
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Ariel Barr
- Materials Science and Engineering, Massachusetts Institute of Technology
Authors
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Ariel Barr
- Materials Science and Engineering, Massachusetts Institute of Technology
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Willem Gispen
- Physics, University of Cambridge
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Austen Lamacraft
- Physics, University of Cambridge
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