Quantum Machine Learning Neural Network Design

Presentations

• Junyu Liu

  ORAL · Invited

  March 7, 2024, 3:00 PM – March 7, 2024, 3:36 PM

  Publication: Analytic Theory for the Dynamics of Wide Quantum Neural Networks
  Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, and Antonio Mezzacapo
  Phys. Rev. Lett. 130, 150601 – Published 10 April 2023

  Presenters

  • Junyu Liu

    • University of Chicago

  Authors

  • Junyu Liu

    • University of Chicago

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• Dynamical phase transition in quantum neural networks with large depth

  ORAL

  March 7, 2024, 3:36 PM – March 7, 2024, 3:48 PM

  Presenters

  • Bingzhi Zhang

    • University of Southern California

  Authors

  • Bingzhi Zhang

    • University of Southern California

  • Junyu Liu

    • University of Chicago

  • Liang Jiang

    • University of Chicago

  • Quntao Zhuang

    • University of Southern California

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• Abstract Withdrawn

  ORAL · Withdrawn

  March 7, 2024, 3:48 PM – March 7, 2024, 4:00 PM

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• Expressive quantum circuits provide inherent privacy in federated learning

  ORAL

  March 7, 2024, 4:00 PM – March 7, 2024, 4:12 PM

  Publication: https://arxiv.org/abs/2309.13002

  Presenters

  • Niraj Kumar

    • JPMorgan Chase
    • JPMorgan Chase & Co.

  Authors

  • Niraj Kumar

    • JPMorgan Chase
    • JPMorgan Chase & Co.

  • Jamie Heredge

    • JP Morgan Chase

  • Changhao Li

    • JPMorgan Chase
    • JP Morgan Chase

  • Shree Hari Sureshbabu

    • JPMorgan Chase & Co.
    • JPMorgan Chase

  • Shaltiel Eloul

    • JP Morgan Chase

  • Marco Pistoia

    • JP Morgan Chase
    • JPMorgan Chase

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• Automatic Generation of Quantum Neural Networks with Reinforcement Learning

  ORAL

  March 7, 2024, 4:12 PM – March 7, 2024, 4:24 PM

  Publication: Planned paper: Automatic Generation of Quantum Neural Networks with Reinforcement Learning

  Presenters

  • Frederic Rapp

    • Fraunhofer IPA

  Authors

  • Frederic Rapp

    • Fraunhofer IPA

  • Marco Roth

    • Fraunhofer IPA

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• Approximately symmetric neural quantum states for quantum spin liquids

  ORAL

  March 7, 2024, 4:24 PM – March 7, 2024, 4:36 PM

  Presenters

  • Jack Kemp

    • Harvard University

  Authors

  • Jack Kemp

    • Harvard University

  • Dominik Kufel

    • Harvard University

  • Norman Y Yao

    • Harvard University
    • University of California, Berkeley
    • Harvard

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• Deep Learning using Quantum Stochastic Switches

  ORAL

  March 7, 2024, 4:36 PM – March 7, 2024, 4:48 PM

  Presenters

  • Matthew J Woolley

    • University of New South Wales

  Authors

  • Matthew J Woolley

    • University of New South Wales

  • Ethan P Sigler

    • University of New South Wales

  • Gerard J Milburn

    • Univ of Queensland

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• Approximate Compilation of Variational Quantum Algorithms

  ORAL

  March 7, 2024, 4:48 PM – March 7, 2024, 5:00 PM

  Publication: Runzhou Tao, Vivek Yanamadula, Sashwat Anagolum, Ronghui Gu, Yunong Shi. Bifrost: Approximate Compilation of Variational Quantum Algorithms. Planned paper.

  Presenters

  • Runzhou Tao

    • Columbia University

  Authors

  • Runzhou Tao

    • Columbia University

  • Yunong Shi

    • AWS Quantum Technologies

  • Sashwat S Anagolum

    • Penn State

  • Ronghui Gu

    • Columbia University

  • Vivek Yanamadula

    • Columbia University

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