Machine Learning for Quantum Matter IV

FOCUS · S62 · ID: 1100953

Presentations

  • ORAL · Invited

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    Publication: S. Czischek, M.S. Moss, M. Radzihovsky, E. Merali, and R.G. Melko, "Data-enhanced variational Monte Carlo simulations for Rydberg atom arrays", PRB 105, 205108 (2022)

    Presenters

    • Stefanie Czischek

      • U of Ottawa
      • University of Ottawa

    Authors

    • Stefanie Czischek

      • U of Ottawa
      • University of Ottawa

    View abstract →

  • ORAL

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    Publication: arXiv:2204.09820

    Presenters

    • Suheng Xu

      • Columbia University

    Authors

    • Suheng Xu

      • Columbia University

    • Xinzhong Chen

      • Stony Brook University (SUNY)

    • Sara Shabani

      • Columbia University

    • Yueqi Zhao

      • UCSD

    • Matthew Fu

      • Columbia University

    • Andrew Millis

      • Columbia University
      • Columbia University, Flatiron Institute

    • Michael M Fogler

      • University of California, San Diego

    • Abhay N Pasupathy

      • Brookhaven National Laboratory & Columbia University
      • Columbia University

    • Mengkun Liu

      • Stony Brook University (SUNY)

    • Dmitri N Basov

      • Columbia University
      • Department of Physics, Columbia University, New York, NY, USA

    View abstract →

  • ORAL · Invited

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    Publication: (1) Muhammad Junaid Arshad, Christiaan Bekker, Ben Haylock, Krzysztof Skrzypczak, Daniel White, Benjamin Griffiths, Joe Gore, Gavin W. Morley, Patrick Salter, Jason Smith, Inbar Zohar, Amit Finkler, Yoann Altmann, Erik M. Gauger, Cristian Bonato, "Online adaptive estimation of decoherence timescales for a single qubit", arXiv:2210.06103 (2022)
    (2) Inbar Zohar, Yoav Romach, Muhammad Junaid Arshad, Nir Halay, Niv Drucker, Rainer Stöhr, Andrej Denisenko, Yonatan Cohen, Cristian Bonato, Amit Finkler, " Real-time frequency estimation of a qubit without single-shot-readout ", arXiv:2210.05542 (2022)
    (3) Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile, Erik Gauger, David Craig, Natalia Ares, Leonardo Banchi, Florian Marquardt, Luca Pezze', Cristian Bonato, "Learning Quantum Systems", arXiv:2207.00298 (2022)
    (4) Eleanor Scerri, Erik M. Gauger, Cristian Bonato, "Extending qubit coherence by adaptive quantum environment learning", New Journal of Physics 22, 035002 (2020)
    (5) Cristian Bonato, Machiel S. Blok, Hossein T. Dinani, Dominic W. Berry, Matthew L. Markham, Daniel J. Twitchen, Ronald Hanson, "Optimized quantum sensing with a single electron spin using real-time adaptive measurements", Nature Nanotechnology 11, 247-252 (2016)

    Presenters

    • Cristian Bonato

      • Heriot-Watt University
      • Bonato
      • Heriot-Watt University, Edinburgh

    Authors

    • Cristian Bonato

      • Heriot-Watt University
      • Bonato
      • Heriot-Watt University, Edinburgh

    • Muhammad Junaid Arshad

      • Heriot-Watt University

    • Stewart Wallace

      • Heriot-Watt University

    • Christiaan Bekker

      • Heriot-Watt University

    • Ben Haylock

      • Heriot-Watt University

    • Yoann Altmann

      • Heriot-Watt University

    • Erik Gauger

      • Heriot-Watt University

    View abstract →

  • ORAL

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    Presenters

    • Kacper J Cybinski

      • University of Warsaw

    Authors

    • Kacper J Cybinski

      • University of Warsaw

    • Marcin Plodzien

      • ICFO-The Institute of Photonic Sciences

    • Michal Tomza

      • University of Warsaw

    • Maciej A Lewenstein

      • ICFO-The Institute of Photonic Sciences

    • Alexandre Dauphin

      • ICFO-The Institute of Photonic Sciences

    • Anna Dawid

      • Flatiron Institute

    View abstract →

  • ORAL

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    Publication: https://doi.org/10.48550/arXiv.2210.09980
    https://doi.org/10.48550/arXiv.2210.09980

    Presenters

    • Sören Arlt

      • Max Planck Inst for Sci Light
      • Max Planck Institute for the Science of Light

    Authors

    • Sören Arlt

      • Max Planck Inst for Sci Light
      • Max Planck Institute for the Science of Light

    • Mario Krenn

      • Max Planck Institute for the Science of Light

    • Carlos Ruiz Gonzalez

      • Max Planck Institute for the Science of Light

    • Mario Krenn

      • Max Planck Institute for the Science of Light

    View abstract →

  • ORAL

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    Publication: [1] J. Venderley et al., Harnessing Interpretable and Unsupervised Machine Learning to Address Big Data from Modern X-Ray Diffraction, Proceedings of the National Academy of Sciences 119, e2109665119 (2022).

    Presenters

    • Haining Pan

      • Cornell University

    Authors

    • Haining Pan

      • Cornell University

    • Krishnanand M Mallayya

      • Cornell University

    • James L Hart

      • Cornell University

    • Judy J Cha

      • Cornell University

    • Eun-Ah Kim

      • Cornell University

    View abstract →