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Quantum Machine Learning I

FOCUS · S37 · ID: 46944

Presentations

  • Representation Learning via Quantum Neural Tangent Kernels

    ORAL

    –

    Publication: appear soon in arxiv in this year.

    Presenters

    • Junyu Liu

      University of Chicago

    Authors

    • Junyu Liu

      University of Chicago

    • Francesco Tacchino

      IBM Research Zurich, IBM Quantum, IBM Research Zurich

    • Jennifer R Glick

      IBM Quantum, IBM TJ Watson Research Center, IBM

    • Liang Jiang

      University of Chicago

    • Antonio Mezzacapo

      IBM

    View abstract →

  • Quantum Enhanced Optimization for Industrial-Scale Problems

    ORAL

    –

    Presenters

    • William P Banner

      Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology MI

    Authors

    • William P Banner

      Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology MI

    • Tim Menke

      Harvard University, Massachusetts Institute of Technology Research Laboratory of Electronics, Harvard University

    • Shima B Hadiashar

      Zapata Computing Inc

    • Grzegorz Mazur

      Zapata Computing Inc, Jagiellonian University Department of Computational Methods in Chemistry

    • Marcin Ziolkowski

      BMW Group Information Technology Research Center

    • Ken Kennedy

      BMW Group Information Technology Research Center

    • Jeffrey A Grover

      Massachusetts Institute of Technology MI, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology MIT, Northrop Grumman - Mission Systems, Massachusetts Institute of Technology

    • Jhonathan Romero

      Zapata Computing Inc

    • William D Oliver

      Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Research Laboratory of Electronics, MIT Lincoln Laboratory and Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology

    View abstract →

  • Generative Quantum Learning of Joint Probability Distribution Functions

    ORAL

    –

    Publication: arXiv:2109.06315

    Presenters

    • Sonika Johri

      IonQ, Inc

    Authors

    • Sonika Johri

      IonQ, Inc

    • Elton Zhu

      Fidelity Center of Applied Technology, FMR LLC

    • Dave Bacon

      IonQ Inc

    • Mert Esencan

      Fidelity Center of Applied Technology, FMR LLC

    • Jungsang Kim

      IonQ Inc

    • Mark Muir

      Fidelity Center of Applied Technology, FMR LLC

    • Nikhil Murgai

      Fidelity Center of Applied Technology, FMR LLC

    • Jason Nguyen

      IonQ Inc

    • Neal Pisenti

      IonQ Inc

    • Adam Schouela

      Fidelity Center of Applied Technology, FMR LLC

    • Ksenia Sosnova

      IonQ Inc

    • Ken Wright

      IonQ Inc

    View abstract →

  • Direct implementation of a perceptron in superconducting circuit quantum hardware

    ORAL

    –

    Presenters

    • Stefan Filipp

      TU Munich & Walther-Meissner-Institute

    Authors

    • Stefan Filipp

      TU Munich & Walther-Meissner-Institute

    • Marek Pechal

      ETH Zurich

    • Federico Roy

      Walther-Meißner-Institute & Saarland University, Walther-Meißner-Institut, Bavarian Academy of Sciences and Humanities

    • Samuel A Wilkinson

      University Erlangen-Nürnberg, Friedrich-Alexander University Erlangen-

    • Gian Salis

      IBM Research - Zurich

    • Max Werninghaus

      Walther-Meißner-Institute, Walther-Meißner-Institut, Bavarian Academy of Sciences and Humanities

    • 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 →

  • Compression and dimensionality reduction techniques for Quantum Machnine Learning applications in High Energy Physics

    ORAL

    –

    Presenters

    • Panagiotis Barkoutsos

      IBM Research - Zurich

    Authors

    • Panagiotis Barkoutsos

      IBM Research - Zurich

    • Denis-Patrick Odagiu

      Institute of Particle Physics and Astrophysics, ETH Zürich

    • Vasileios Belis

      Institute of Particle Physics and Astrophysics, ETH Zürich

    • Lennart Schulze

      IBM Research Europe - Zurich Research Laboratory

    • Christina Reissel

      Institute of Particle Physics and Astrophysics, ETH Zürich

    • Elias Fernandez-Combarro Alvarez

      Faculty of Sciences, University of Oviedo

    • Jennifer R Glick

      IBM Quantum, IBM TJ Watson Research Center, IBM

    • Sofia Vallecorsa

      CERN

    • Guenther Dissertori

      ETH Zurich

    • Ivano Tavernelli

      IBM Research - Zurich

    View abstract →

  • Machine learning phase transitions in a scalable manner

    ORAL

    –

    Publication: Arturo De Giorgi, Marina Krstic Marinkovic, Machine learning the O(2) model critical exponents -- in preparation

    Presenters

    • Marina Krstic Marinkovic

      ETH Zurich

    Authors

    • Marina Krstic Marinkovic

      ETH Zurich

    • Arturo DeGiorgi

      Autonomous University of Madrid

    View abstract →