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Quantum Machine Learning II

FOCUS · T37 · ID: 46947

Presentations

  • Theory of overparametrization in quantum neural networks

    ORAL

    –

    Publication: https://arxiv.org/abs/2109.11676

    Presenters

    • Martin Larocca

      Los Alamos National Laboratoy

    Authors

    • Martin Larocca

      Los Alamos National Laboratoy

    • Marco Cerezo

      Los Alamos National Laboratory

    • Patrick J Coles

      Los Alamos National Laboratory

    • Diego García-Martín

      Barcelona Supercomputing Center

    • Nathan Ju

      Los Alamos National Laboratory

    View abstract →

  • Diagnosing barren plateaus with tools from quantum optimal control

    ORAL

    –

    Publication: arXiv:2105.14377

    Presenters

    • Marco Cerezo

      Los Alamos National Laboratory

    Authors

    • Marco Cerezo

      Los Alamos National Laboratory

    • Piotr J Czarnik

      Los Alamos National Laboratory

    • Kunal Sharma

      University of Maryland, College Park, Louisiana State University

    • Gopikrishnan Muraleedharan

      University of New Mexico, Los Alamos National Laboratory

    • Patrick J Coles

      Los Alamos National Laboratory

    • Martin Larocca

      Los Alamos National Laboratoy

    View abstract →

  • Barren plateaus preclude learning scramblers

    ORAL · Invited

    –

    Publication: Phys. Rev. Lett. 126, 190501 (2021)

    Presenters

    • ZOE HOLMES

      Los Alamos National Laboratory

    Authors

    • ZOE HOLMES

      Los Alamos National Laboratory

    • Andrew T Sornborger

      Los Alamos National Laboratory

    • Andrew T Arrasmith

      Los Alamos National Laboratory

    • Bin Yan

      Los Alamos National Laboratory

    • Andreas J Albrecht

      University of California, Davis

    • Patrick J Coles

      Los Alamos National Laboratory

    View abstract →

  • Storage capacity and learning capability of quantum neural networks

    ORAL

    –

    Publication: Storage capacity and learning capability of quantum neural networks, <br>M Lewenstein, A Gratsea, A Riera-Campeny, A Aloy, V Kasper, A Sanpera<br>Quantum Science and Technology, 2021

    Presenters

    • Aikaterini Gratsea

      ICFO-The Institute of Photonic Sciences

    Authors

    • Aikaterini Gratsea

      ICFO-The Institute of Photonic Sciences

    • Valentin Kasper

      Harvard University

    • Maciej A Lewenstein

      ICFO-The Institute of Photonic Sciences

    • Anna Sanpera

      UAB

    • Albert Alloy

      ICFO

    • Andreu Riera-Campeny

      UAB

    View abstract →

  • Realization of a quantum neural network by repeat-until-success circuits in a superconducting quantum processor

    ORAL

    –

    Presenters

    • Miguel Moreira

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Techology, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

    Authors

    • Miguel Moreira

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Techology, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

    • Gian Giacomo Guerreschi

      Intel Labs, Intel Corporation, USA, Intel

    • Wouter J Vlothuizen

      QuTech and Netherlands Organization for Applied Scientific Research, The Netherlands, Netherlands Organisation for Applied Scientific Research, Delft University of Technology,

    • Jeroen van Straten

      QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

    • Hans van Someren

      QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

    • Jorge F Marques

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology

    • Hany Ali

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology

    • Nandini Muthusubramanian

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands

    • Christos Zachariadis

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology, QuTech, Kavli Institute of Nanoscience, Delft University of Technology

    • Marc Beekman

      QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands

    • Nadia Haider

      QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands, Netherlands Organisation for Applied Scientific Research

    • Alessandro Bruno

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology, QuTech, Kavli Institute of Nanoscience, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology, and Quantware, B.V., The Netherlands

    • Carmina G Almudever

      QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

    • Anne Y Matsuura

      Intel Corporation, Hillsboro, Intel Corporation, Santa Clara, Intel Labs, Intel Corporation, USA

    • Leonardo DiCarlo

      QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology

    View abstract →

  • Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases

    ORAL

    –

    Publication: https://arxiv.org/abs/2109.05909

    Presenters

    • Johannes Herrmann

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    Authors

    • Johannes Herrmann

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Sergi Masot Llima

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Ants Remm

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Petr Zapletal

      University of Erlangen-Nuremberg, Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

    • Nathan A McMahon

      Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

    • Colin Scarato

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Francois Swiadek

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Christian Kraglund Andersen

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Christoph Hellings

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Sebastian Krinner

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Nathan Lacroix

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Stefania Lazar

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Michael Kerschbaum

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland, ETH Zurich

    • Dante Colao Zanuz

      Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Graham J Norris

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Michael J Hartmann

      FAU Erlangen, Friedrich-Alexander University Erlangen-Nurnberg, Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany, University Erlangen-Nürnberg, Friedrich-Alexander-University

    • Andreas Wallraff

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    • Christopher Eichler

      ETH Zurich, Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

    View abstract →

  • Shortening Quantum Convolutional Neural Networks to Constant Depth

    ORAL

    –

    Publication: Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases, J. Herrmann et al, arXiv:2109.05909

    Presenters

    • Nathan A McMahon

      Friedrich-Alexander University Erlangen-Nuremberg

    Authors

    • Nathan A McMahon

      Friedrich-Alexander University Erlangen-Nuremberg

    • Petr Zapletal

      University of Erlangen-Nuremberg, Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany

    • Michael J Hartmann

      FAU Erlangen, Friedrich-Alexander University Erlangen-Nurnberg, Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany, University Erlangen-Nürnberg, Friedrich-Alexander-University

    View abstract →