Quantum Machine Learning Neural Network Design

Presentations

• Junyu Liu

  ORAL · Invited

  March 7, 2024, 4:00 PM – March 7, 2024, 4:36 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

  View abstract →

• Dynamical phase transition in quantum neural networks with large depth

  ORAL

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

  View abstract →

• Abstract Withdrawn

  ORAL Withdrawn

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

  View abstract →

• Expressive quantum circuits provide inherent privacy in federated learning

  ORAL

  March 7, 2024, 5:00 PM – March 7, 2024, 5:12 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, 5:12 PM – March 7, 2024, 5:24 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, 5:24 PM – March 7, 2024, 5:36 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, 5:36 PM – March 7, 2024, 5:48 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, 5:48 PM – March 7, 2024, 6:00 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

  View abstract →