AI, ML, and Data Science for Quantum Systems

FOCUS · B18 · ID: 2155860

Presentations

  • Deep Reinforcement Learning for Robust Dynamical Decoupling

    ORAL

    –

    Presenters

    • George Witt

      University of Maryland, College Park

    Authors

    • George Witt

      University of Maryland, College Park

    • Jner Tzern Oon

      University of Maryland, College Park

    • Connor A Hart

      University of Maryland, College Park, University of Maryland, Quantum Catalyzer

    • Ronald L Walsworth

      University of Maryland, College Park

    View abstract →

  • Fully automated coldstart protocol for semiconductor quantum dot tune-up

    ORAL

    –

    Publication: Paper in preparation

    Presenters

    • Torbjørn Rasmussen

      University of Copenhagen

    Authors

    • Torbjørn Rasmussen

      University of Copenhagen

    • Anton Zubchenko

      University of Copenhagen

    • Danielle J Middlebrooks

      NIST

    • Lara Lausen

      University of Copenhagen

    • Ferdinand Kuemmeth

      Niels Bohr Institute, University of Copenhagen

    • Justyna P Zwolak

      National Institute of Standards and Technology

    • Anasua Chatterjee

      Univ of Copenhagen

    View abstract →

  • Rapid Characterization of Spin Qubit Systems Using Open Source Resources

    ORAL

    –

    Presenters

    • Daniel P Mark

      Argonne National Lab, Argonne National Laboratory

    Authors

    • Daniel P Mark

      Argonne National Lab, Argonne National Laboratory

    • Christopher Egerstrom

      University of Chicago and Argonne National Laboratory, University of Chicago

    • Jonathan C Marcks

      Argonne National Laboratory

    • Jacob Feder

      University of Chicago

    • Nazar Delegan

      Argonne National Laboratory, Argonne, University of Chicago

    • Jiefei Zhang

      Argonne National Laboratory

    • David D Awschalom

      University of Chicago

    • Paul M Kairys

      Argonne National Laboratory

    • F. Joseph F Heremans

      Argonne National Laboratory, Argonne National Lab, Argonne, University of Chicago

    View abstract →

  • Simulation-Driven Bayesian Hamiltonian Learning for Autonomous Characterization and Control of Spin-Defects

    ORAL

    –

    Presenters

    • Paul M Kairys

      Argonne National Laboratory

    Authors

    • Paul M Kairys

      Argonne National Laboratory

    • Jonathan C Marcks

      Argonne National Laboratory

    • Daniel P Mark

      Argonne National Lab, Argonne National Laboratory

    • Christopher Egerstrom

      University of Chicago and Argonne National Laboratory, University of Chicago

    • Nazar Delegan

      Argonne National Laboratory, Argonne, University of Chicago

    • Jiefei Zhang

      Argonne National Laboratory

    • David D Awschalom

      University of Chicago

    • F. Joseph F Heremans

      Argonne National Laboratory, Argonne National Lab, Argonne, University of Chicago

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  • Automated Tune-Up of Poor Man's Majorana's In a two-Site Kitaev Chain Using a Neural Network

    ORAL

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    Presenters

    • David van Driel

      Delft University of Technology

    Authors

    • David van Driel

      Delft University of Technology

    • Rouven A Koch

      Aalto University

    • Bas Ten Haaf

      Delft University of Technology

    • Vincent Sietses

      Delft University of Technology

    • Chunxiao Liu

      Delft University of Technology, University of Maryland, College Park

    • Michael Wimmer

      Delft University of Technology, QuTech and Kavli Institute for Nanoscience, TU Delft

    • Eliska Greplova

      Delft University of Technology

    • Srijit Goswami

      Delft University of Technology, QuTech

    • Jose Lado

      Aalto University

    • Leo P Kouwenhoven

      Delft University of Technology

    View abstract →

  • Optimizing High-Fidelity Readout Circuit Using Reinforcement Learning Methods

    ORAL

    –

    Presenters

    • Harry S Chalfin

      University of Maryland

    Authors

    • Harry S Chalfin

      University of Maryland

    • Tommy O Boykin II

      Joint Quantum Institute, University of Maryland,College Park

    • Michael D Stewart

      National Institute of Standards and Tech

    • Michael J Gullans

      Joint Center for Quantum Information and Computer Science, Joint Center for Quantum Information and Computer Science, University of Maryland and NIST, Joint Center for Quantum Information and Computer Science (QuICS)

    • Justyna P Zwolak

      National Institute of Standards and Technology

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  • Feedback-based calibration for tuning and drift control of a trapped-ion quantum processor

    ORAL

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    Publication: In preparation: Feedback-Based Calibration for Rapid Tuning and Drift Control of Quantum Processors

    Presenters

    • Nathan E Miller

      Georgia Institute of Technology

    Authors

    • Nathan E Miller

      Georgia Institute of Technology

    • Alicia B Magann

      Sandia National Laboratories

    • Robin J Blume-Kohout

      Sandia National Laboratories

    • Kevin Young

      Sandia National Laboratories

    View abstract →

  • Predicting the electronic structure of matter at scale with machine learning

    ORAL · Invited

    –

    Publication: [1] L. Fiedler, K. Shah, M. Bussmann, A. Cangi, Phys. Rev. Materials, 6, 040301 (2022)
    [2] A. Cangi, J. A. Ellis, L. Fiedler, D. Kotik, N. A. Modine, V. Oles, G. A. Popoola, S. Rajamanickam, S. Schmerler, J. A. Stephens, A. P. Thompson, Phys. Rev. B 104, 035120 (2021). [3] J. Ellis, L. Fiedler, G. Popoola, N. Modine, J. Stephens, A. Thompson, A. Cangi, S. Rajamanickam, Phys. Rev. B, 104, 035120 (2021)
    [4] L. Fiedler, N. Hoffmann, P. Mohammed, G. Popoola, T. Yovell, V. Oles, J. Austin Ellis, S. Rajamanickam, A. Cangi, Mach. Learn.: Sci. Technol., 3, 045008 (2022)
    [5] L. Fiedler, N. Modine, S. Schmerler, D. Vogel, G. Popoola, A. Thompson, S. Rajamanickam, A. Cangi, npj. Comput. Mater., 9, 115 (2023)

    Presenters

    • Attila Cangi

      Helmholtz Zentrum Dresden-Rossendorf

    Authors

    • Attila Cangi

      Helmholtz Zentrum Dresden-Rossendorf

    View abstract →