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Machine Learning for Quantum Matter III

FOCUS · T47 · ID: 46904

Presentations

  • Tuning quantum dot arrays with rays

    ORAL · Invited

    –

    Publication: [1] J. P. Zwolak et al. "Ray-Based Framework for State Identification in Quantum Dot Devices," PRX Quantum 2, 020335 (2021).

    Presenters

    • Justyna P Zwolak

      National Institute of Standards and Tech

    Authors

    • Justyna P Zwolak

      National Institute of Standards and Tech

    View abstract →

  • Machine-learning discovery of descriptors for Topological Semimetals

    ORAL

    –

    Presenters

    • YANJUN LIU

      Cornell University

    Authors

    • YANJUN LIU

      Cornell University

    • Wesley J Maddox

      New York University

    • Milena Jovanovic

      Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA, Princeton University

    • Sebastian Klemenz

      Fraunhofer Research Institution for Materials Recycling and Resource Strategies IWKS, Princeton University, Fraunhofer IWKS

    • Andrew G Wilson

      New York University

    • Leslie M Schoop

      Princeton University

    • Eun-Ah Kim

      Cornell University

    View abstract →

  • Bragg glass signatures in the disordered charge density wave material PdxErTe3 from X-ray diffraction data using unsupervised machine learning

    ORAL

    –

    Presenters

    • Krishnanand M Mallayya

      Cornell University

    Authors

    • Krishnanand M Mallayya

      Cornell University

    • Michael Matty

      Cornell University

    • Joshua A Straquadine

      Ecole Polytechnique Federale de Lausanne

    • Matthew J Krogstad

      Argonne National Laboratory, Materials Science Division, Argonne National Laboratory

    • Maja D Bachmann

      Stanford Univ

    • Anisha G Singh

      Stanford University

    • Stephan Rosenkranz

      Argonne National Laboratory, Materials Science Division, Argonne National Laboratory

    • Raymond Osborn

      Argonne National Laboratory, Materials Science Division, Argonne National Laboratory

    • 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

    • Eun-Ah Kim

      Cornell University

    View abstract →

  • Neural network-based approach to analytic continuation

    ORAL

    –

    Presenters

    • Maciej M Maśka

      Wroclaw University of Science and Technology, Wrocław University of Science and Technology

    Authors

    • Maciej M Maśka

      Wroclaw University of Science and Technology, Wrocław University of Science and Technology

    • Maksymilian Kliczkowski

      Wroclaw University of Science and Technology

    View abstract →

  • Machine learning discovery of new phases in programmable Rydberg quantum simulator snapshots

    ORAL

    –

    Publication: Planned arxiv posting shortly after abstract submission.

    Presenters

    • Cole M Miles

      Cornell University

    Authors

    • Cole M Miles

      Cornell University

    • Rhine Samajdar

      Harvard University

    • Sepehr Ebadi

      Harvard University

    • Tout T Wang

      Harvard University

    • Hannes Pichler

      University of Innsbruck

    • Markus Greiner

      Harvard University

    • Kilian Q Weinberger

      Cornell University

    • Subir Sachdev

      Harvard University

    • Mikhail Lukin

      Harvard University

    • Eun-Ah Kim

      Cornell University

    View abstract →

  • Autonomous identification of quantum dot device failure modes

    ORAL

    –

    Presenters

    • Josh E Ziegler

      National Institute of Standards and Tech, University of Oregon

    Authors

    • Josh E Ziegler

      National Institute of Standards and Tech, University of Oregon

    • Florian Luthi

      Intel Corporation, Hillsboro, Intel Corporation

    • Mick Ramsey

      Intel Corporation, Hillsboro

    • Thomas F Watson

      Intel Corporation, Hillsboro

    • Justyna P Zwolak

      National Institute of Standards and Tech

    View abstract →

  • Machine learning for quantum spin dynamics in and out of equilibrium

    ORAL

    –

    Publication: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.146401

    Presenters

    • Puhan Zhang

      University of Virginia

    Authors

    • Puhan Zhang

      University of Virginia

    • Sheng Zhang

      Univ of Virginia, University of Virginia

    • Gia-Wei Chern

      University of Virginia, Department of Physics, University of Virginia

    View abstract →