Data Science, Artificial Intelligence and Machine Learning

Presentations

• Machine Learning for tuning, controlling, and optimizing semiconductor spin qubits

  ORAL · Invited

  March 16, 2022, 4:00 PM – March 16, 2022, 4:36 PM

  Publication: 1. Identifying Pauli spin blockade using deep learning.<br>J. Schuff, D.T. Lennon, S. Geyer, D. Craig, F. Fedele, F. Vigneau, L.C. Camenzind, A.V. Kuhlmann, R.J. Warburton, D.M. Zumbühl, D. Sejdinovic, G.A.D. Briggs, N. Ares. Planned Paper (2021).<br>2. Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning.<br>B. Severin, D. T. Lennon, L. C. Camenzind, F. Vigneau, F. Fedele, D. Jirovec, A. Ballabio, D. Chrastina, G. Isella, M. de Kruijf, M. J. Carballido, S. Svab, A. V. Kuhlmann, F. R. Braakman, S. Geyer, F. N. M. Froning, H. Moon, M. A. Osborne, D. Sejdinovic, G. Katsaros, D. M. Zumbühl, G. A. D. Briggs, and N. Ares. Preprint, arXiv:2107.12975 (2021).<br>3. Deep Reinforcement Learning for Efficient Measurement of Quantum Devices.<br>V. Nguyen*, S. B. Orbell*, D.T. Lennon, H. Moon, F. Vigneau, L.C. Camenzind, L. Yu, D.M. Zumbühl, <br>G.A.D. Briggs, M. A. Osborne, D. Sejdinovic, and N. Ares. npj Quantum Information 7, 100 (2021).<br>4. Quantum device fine-tuning using unsupervised embedding learning.<br>N.M. van Esbroeck, D.T. Lennon, H. Moon, V. Nguyen, F. Vigneau, L.C. Camenzind, L. Yu, <br>D.M. Zumbühl, G.A.D. Briggs, D. Sejdinovic, and N. Ares. New J. Phys. 22 09503 (2020) <br>5. Machine learning enables completely automatic tuning of a quantum device faster than human experts.<br>H. Moon*, D.T. Lennon*, J. Kirkpatrick, N.M. van Esbroeck, L.C. Camenzind, Liuqi Yu, F. Vigneau, D.M. Zumbühl, G.A.D. Briggs, M.A Osborne, D. Sejdinovic, E.A. Laird, N. Ares. Nature Communications 11, 4161 (2020)<br>6. Efficiently measuring a quantum device using machine learning.<br>D. T. Lennon, H. Moon, L. C. Camenzind, Liuqi Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, E. A. Laird, N. Ares. npj Quantum Information 5, 79 (2019)

  Presenters

  • Dominic T Lennon

    University of Oxford

  Authors

  • Leon Camenzind

    University of Basel

  • Dominic T Lennon

    University of Oxford

  • Vu Nguyen

    University of Oxford

  • Brandon Severin

    University of Oxford

  • Nina M van Esbroeck

    University of Oxford

  • James Kirkpatrick

    DeepMind, London, UK

  • Sebastian Orbell

    University of Oxford

  • Hyungil Moon

    University of Oxford

  • Jonas Schuff

    University of Oxford

  • Florian Vigneau

    University of Oxford

  • Liuqi Yu

    University of Maryland, College Park, University of Basel

  • Simon Geyer

    University of Basel

  • Andreas V Kuhlmann

    University of Basel

  • Florian N Froning

    University of Basel

  • Dino Sejdinovic

    University of Oxford

  • Michael A Osborne

    University of Oxford

  • Edward A Laird

    Lancaster University

  • G. Andrew D Briggs

    University of Oxford

  • Dominik M Zumbuhl

    University of Basel

  • Natalia Ares

    University of Oxford

  View abstract →

• Machine learning with the quantum earthmover's distance

  ORAL · Invited

  March 16, 2022, 4:36 PM – March 16, 2022, 5:12 PM

  Presenters

  • Seth Lloyd

    Massachusetts Institute of Technology MIT, MIT

  Authors

  • Seth Lloyd

    Massachusetts Institute of Technology MIT, MIT

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• Combining machine learning with first principles to model the Curie temperature of magnetic Heusler compounds

  ORAL

  March 16, 2022, 5:12 PM – March 16, 2022, 5:24 PM

  Presenters

  • Parul R Raghuvanshi

    Indian Institute of Technology Bombay

  Authors

  • Parul R Raghuvanshi

    Indian Institute of Technology Bombay

  • Krishnaraj Kundavu

    Indian Institute of Technology, Bombay, Indian Institute of Technology Bombay, IIT Bombay

  • Bhavana Panwar

    IIT Bombay

  • Prasun Keshri

    IIT Bombay

  • Rohit Pathak

    Indian Institute of Technology Bombay

  • Amrita Bhattacharya

    Indian Inst of Tech-Bombay

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• Denoising scanning tunneling microscopy images with deep learning

  ORAL

  March 16, 2022, 5:24 PM – March 16, 2022, 5:36 PM

  Presenters

  • Frederic F Joucken

    Arizona State University

  Authors

  • Frederic F Joucken

    Arizona State University

  • John L Davenport

    University of California, Santa Cruz

  • Zhehao Ge

    Department of Physics, University of California, Santa Cruz, University of California, Santa Cruz

  • Eberth Quezada-Lopez

    University of California, Santa Cruz

  • Takashi Taniguchi

    National Institute for Materials Science, Tsukuba, Japan, National Institute for Materials Science, NIMS, Kyoto Univ, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Ibaraki 305-0044, Japan., 3 National Institute for Materials Science, Tsukuba, Japan, National Institute for Materials Science; 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan, National Institute of Materials Science, Tsukuba, Japan, National Institute of Materials Science, Advanced Materials Laboratory, National Institute for Materials Science, 1-1 Namiki, Tsukuba, 305-0044, Japan, National Institute for Materials Science (Japan), International Center for Materials Nanoarchitectonics, National Institute for Materials Science, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan, Kyoto University, International Center for Materials Nanoarchitectonics, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, Tsukuba, Japan, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, Japan, International Center for Materials Nanoarchitectonics, National Institute for MaterialsScience, 1-1 Namiki, Tsukuba 305-0044, Japan, National Institute for Material Science, Japan, National Institute for Material Science, National Institute of Material Sciences, Japan, NIMS, Tsukuba, 2National Institute for Materials Science, Namiki 1-1, Ibaraki 305-0044, Japan., National Institute of Materials Science, Tsukuba, Ibaraki 305-0044, Japan, National Institute for Materials Science, Japan, International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science, 1-1 Namiki Tsukuba, Ibaraki 305-0044, Japan., NIMS, Japan, National Institute for Materials Science (NIMS), NIMS. Japan, International Center for Material Nanoarchitectonics, National Institute for Materials Science, Tsukuba, Japan, International Center for Material Nanoarchitectonics, National Institute for Materials Science, National Institute for Materials Science Tsukuba, National Institute for Materials Science, 1-1 Namiki, National Institute for Materials Science of Japan, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan, NIMS - National Institute for Material Science, Japan, International Center for Materials Nanoarchitectonics, National Institute for Material Science, Tsukuba, Ibaraki 305-0044, Japan., National Institute for Material Science, Tsukuba, National Institute for Materials Science, International Center for Materials Nanoarchitectonics, International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan, National Institute of Material Science, National Institute for Materials Science,1-1 Namiki, Tsukuba, 305-0044, Japan

  • Kenji Watanabe

    National Institute for Materials Science, Tsukuba, Japan, National Institute for Materials Science, NIMS, Research Center for Functional Materials, National Institute for Materials Science, Tsukuba, Ibaraki 305-0044, Japan, Research Center for Functional Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan., Research Center for Functional Materials, National Institute for Materials Science, Advanced, Materials Laboratory, NIMS, 3 National Institute for Materials Science, Tsukuba, Japan, National Institute for Materials Science; 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan, National Institute of Materials Science, Tsukuba, Japan, National Institute of Materials Science, Advanced Materials Laboratory, National Institute for Materials Science, 1-1 Namiki, Tsukuba, 305-0044, Japan, National Institute for Materials Science (Japan), National Institute for Materials Science, Japan, Research Center for Functional Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan, Research Center for Functional Materials, Research Center for Functional Materials, National Institute for Materials Science, Tsukuba, Japan, Research Center for Functional Materials, National Institute for Materials Science, Japan, Research Center for Functional Materials, National Institute for Materials Science, 1-1Namiki, Tsukuba 305-0044, Japan, National Institute for Material Science, Japan, National Institute for Material Science, National Institute of Material Sciences, Japan, NIMS, Tsukuba, 2National Institute for Materials Science, Namiki 1-1, Ibaraki 305-0044, Japan., National Institute of Materials Science, Tsukuba, Ibaraki 305-0044, Japan, National Institute for Materials Science Japan, NIMS, Japan, nims, National Institute for Materials Science, Research Center for Functional Materials, Japan, National Institute for Materials Science Tsukuba, National Institute for Materials Science, 1-1 Namiki, National Institute for Materials Science of Japan, National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044, Japan, NIMS - National Institute for Material Science, Japan, Research Center for Functional Materials, National Institute for Material Science, Tsukuba, Ibaraki, 305-0044, Japan., National Institute for Material Science, Tsukuba, National Institute for Materials Science, Tsukuba, Ibaraki 305-0044, Japan, National Institute for Materials Science (NIMS), National Institute for Materials Science, Research Center for Functional Materials, Research Center for Functional Materials, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan, National Institute of Material Science, Kyoto Univ, National Institute for Materials Science,1-1 Namiki, Tsukuba, 305-0044, Japan

  • Jerome Lagoute

    Université Pari-Diderot

  • Robert A Kaindl

    Arizona State University

  View abstract →

• Exploring non-equilibrium systems with normalizing flows

  ORAL

  March 16, 2022, 5:36 PM – March 16, 2022, 5:48 PM

  Presenters

  • Christoph Schönle

    Max Planck Inst for Sci Light

  Authors

  • Christoph Schönle

    Max Planck Inst for Sci Light

  • Vittorio Peano

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

  • Florian Marquardt

    Max Planck Inst for Sci Light, Friedrich-Alexander University Erlangen-Nürnberg, Friedrich-Alexander University Erlangen-Nürnberg, Max Planck Institute for the Science of Light, Friedrich-Alexander University Erlangen-

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• Discovering dynamical symmetry breaking and resonances in nonlinear systems through AI.

  ORAL

  March 16, 2022, 5:48 PM – March 16, 2022, 6:00 PM

  Publication: [1] G. D. Barmparis and G. P. Tsironis, "Discovering nonlinear resonances through physics-informed machine learning," J. Opt. Soc. Am. B, 38, C120-C126 (2021).<br><br>[2] G. P. Tsironis, G. D. Barmparis, D. K. Campbell, "Dynamical symmetry breaking through AI: The dimer self-trapping transition", Int. J. Mod. Phys. B, accepted.

  Presenters

  • George P Tsironis

    Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, P.O. Box 2208, 71003 Heraklion, Greece

  Authors

  • George P Tsironis

    Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, P.O. Box 2208, 71003 Heraklion, Greece

  • Georgios D Barmparis

    Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, P.O. Box 2208, 71003 Heraklion, Greece

  View abstract →

• Sample generation for the spin-fermion model using neural networks .

  ORAL

  March 16, 2022, 6:00 PM – March 16, 2022, 6:12 PM

  Presenters

  • Georgios Stratis

    Northeastern University

  Authors

  • Georgios Stratis

    Northeastern University

  • Phillip E Weinberg

    Northeastern University

  • Tales Imbiriba

    Northeastern University

  • Pau Closas

    Northeastern University

  • Adrian E Feiguin

    Northeastern University

  View abstract →

• Deep Bayesian Experimental Design for Quantum Many-Body Systems

  ORAL

  March 16, 2022, 6:12 PM – March 16, 2022, 6:24 PM

  Presenters

  • Leopoldo Sarra

    Max Planck Inst for Sci Light

  Authors

  • Leopoldo Sarra

    Max Planck Inst for Sci Light

  • Florian Marquardt

    Max Planck Inst for Sci Light, Friedrich-Alexander University Erlangen-Nürnberg, Friedrich-Alexander University Erlangen-Nürnberg, Max Planck Institute for the Science of Light, Friedrich-Alexander University Erlangen-

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• Band gap predition of very large number of novel Van der Waals heterostructures using active learing models

  ORAL

  March 16, 2022, 6:24 PM – March 16, 2022, 6:36 PM

  Publication: M. Fronzi*, O. Isayev, D. A. Winkler J. G. Shapter, A. V. Ellis, P. C. Sherrell, N. A. Shepelin, Al. Corletto, and M. J. Ford ``Active learning in Bayesian neural networks for the bandgap predictions of novel Van der Waals heterostructures'' Adv Int Sys 2100080, 1-7 (2021)

  Presenters

  • Marco Fronzi

    Shibaura Inst of Tech

  Authors

  • Marco Fronzi

    Shibaura Inst of Tech

  • Michael Ford

    University of Technology Sydney

  • Dawid Winkler

    La Trobe University

  • Olexandr Isayev

    Carnegie Mellon University

  View abstract →

• Identifying Pauli spin blockade using deep learning with scarce experimental data

  ORAL

  March 16, 2022, 6:36 PM – March 16, 2022, 6:48 PM

  Presenters

  • Jonas Schuff

    University of Oxford

  Authors

  • Jonas Schuff

    University of Oxford

  • Dominic T Lennon

    University of Oxford

  • Simon Geyer

    University of Basel

  • David Craig

    University of Oxford

  • Leon Camenzind

    University of Basel

  • Federico Fedele

    University of Oxford

  • Florian Vigneau

    University of Oxford

  • Andreas V Kuhlmann

    University of Basel

  • Richard J Warburton

    University of Basel

  • Dominik M Zumbuhl

    University of Basel

  • Dino Sejdinovic

    University of Oxford

  • G. Andrew D Briggs

    University of Oxford

  • Natalia Ares

    University of Oxford

  View abstract →