Quantum Machine Learning I

Presentations

• Using Quantum Circuits with Convolutional Neural Networks for Multi-Object Detection and Classification

  ORAL

  March 6, 2023, 3:00 PM – March 6, 2023, 3:12 PM

  Presenters

  • Mandeep Saggi

    • Purdue University

  Authors

  • Mandeep Saggi

    • Purdue University

  • Sabre Kais

    • Purdue University

  View abstract →

• Quantum natural language processing applications on high-performance computing systems and quantum devices

  ORAL

  March 6, 2023, 3:12 PM – March 6, 2023, 3:24 PM

  Presenters

  • Eduardo A Coello Perez

    • Oak Ridge National Laboratory

  Authors

  • Eduardo A Coello Perez

    • Oak Ridge National Laboratory

  • In-Saeng Suh

    • Oak Ridge National Laboratory

  • Prasanna Date

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

  • John P Gounley

    • Oak Ridge National Laboratory

  • Mayanka Chandra Shekar

    • Oak Ridge National Laboratory

  • Kathleen Hamilton

    • Oak Ridge National Laboratory

  View abstract →

• Parameterized quantum circuits for reinforcement learning of classical rare dynamics

  ORAL

  March 6, 2023, 3:24 PM – March 6, 2023, 3:36 PM

  Presenters

  • Alissa Wilms

    • Freie Universität Berlin

  Authors

  • Sumeet Khatri

    • Freie Universität Berlin

  • Alissa Wilms

    • Freie Universität Berlin

  • Laura Ohff

    • Otto-Friedrich Universität Bamberg

  • Andrea Skolik

    • Leiden University

  • Jens Eisert

    • Freie Universität Berlin

  View abstract →

• Hybrid Classical-Quantum Machine Learning for Image Recognition on CIFAR-10

  ORAL

  March 6, 2023, 3:36 PM – March 6, 2023, 3:48 PM

  Presenters

  • Nicholas S Shorter

    • Lockheed Martin - MFC

  Authors

  • Julia Kwok

    • Lockheed Martin - MFC

  • Nicholas S Shorter

    • Lockheed Martin - MFC

  • Danielle M Couger

    • Lockheed Martin - HQ

  • Joshua A Job

    • Lockheed Martin - Palo Alto
    • Lockheed Martin
    • Lockheed Martin - Space

  • Steven H Adachi

    • Lockheed Martin - Space

  • Derek K Wise

    • Lockheed Martin - HQ

  View abstract →

• Spectral asymmetry of quantum feature maps with real world classical data

  ORAL

  March 6, 2023, 3:48 PM – March 6, 2023, 4:00 PM

  Presenters

  • Mekena L Metcalf

    • HSBC

  Authors

  • Mekena L Metcalf

    • HSBC

  • Jorja J Kirk

    • HSBC

  View abstract →

• The Complexity of NISQ

  ORAL · Invited

  March 6, 2023, 4:00 PM – March 6, 2023, 4:36 PM

  Publication: Preprint: https://arxiv.org/abs/2210.07234

  Presenters

  • Jordan Cotler

    • Harvard University

  Authors

  • Jordan Cotler

    • Harvard University

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• Expressivity and generalization error of projected fidelity quantum kernels

  ORAL

  March 6, 2023, 4:36 PM – March 6, 2023, 4:48 PM

  Presenters

  • Beng Yee Gan

    • Centre for Quantum Technologies

  Authors

  • Beng Yee Gan

    • Centre for Quantum Technologies

  • Supanut Thanasilp

    • Natl Univ of Singapore
    • Centre for Quantum Technologies

  • Daniel Leykam

    • Centre for Quantum Technologies

  • Dimitris G Angelakis

    • Centre for Quantum Technologies

  View abstract →

• Generalization of Quantum Kernel Methods

  ORAL

  March 6, 2023, 4:48 PM – March 6, 2023, 5:00 PM

  Publication: Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin. Bandwidth Enables Generalization in Quantum Kernel Models. Preprint: arXiv:2206.06686

  Presenters

  • Ruslan Shaydulin

    • JPMorgan Chase

  Authors

  • Ruslan Shaydulin

    • JPMorgan Chase

  • Abdulkadir Canatar

    • Harvard University

  • Evan Peters

    • University of Waterloo

  • Cengiz Pehlevan

    • Harvard University

  • Stefan M Wild

    • Argonne National Laboratory

  View abstract →

• Numerical evidence against advantage with quantum fidelity kernels on classical data

  ORAL

  March 6, 2023, 5:00 PM – March 6, 2023, 5:12 PM

  Presenters

  • Lucas Slattery

    • University of Illinois at Urbana-Champai

  Authors

  • Lucas Slattery

    • University of Illinois at Urbana-Champai

  • Ruslan Shaydulin

    • JPMorgan Chase

  • Shouvanik Chakrabarti

    • JPMorgan Chase

  • Sami Khairy

    • Argonne National Laboratory

  • Stefan M Wild

    • Argonne National Laboratory

  • Marco Pistoia

    • JPMorgan Chase, New York, NY, USA
    • JPMorgan Chase
    • JP Morgan Chase

  View abstract →

• Exponential concentration and untrainability in quantum kernel methods

  ORAL

  March 6, 2023, 5:12 PM – March 6, 2023, 5:24 PM

  Publication: arXiv:2208.11060

  Presenters

  • Supanut Thanasilp

    • Natl Univ of Singapore
    • Centre for Quantum Technologies

  Authors

  • Supanut Thanasilp

    • Natl Univ of Singapore
    • Centre for Quantum Technologies

  • Samson Wang

    • Imperial College London

  • Marco Cerezo

    • Los Alamos National Laboratory

  • Zoe Holmes

    • Los Alamos National Laboratory
    • École polytechnique fédérale de Lausanne

  View abstract →

• Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage (Part 1)

  ORAL

  March 6, 2023, 5:24 PM – March 6, 2023, 5:36 PM

  Publication: Part 1: https://arxiv.org/abs/2208.13673
  Part 2: https://arxiv.org/abs/2209.00595

  Presenters

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  Authors

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  • Jacob E Miller

    • Zapata Computing
    • Zapata Computing Inc.

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  • Atithi Acharya

    • Rutgers University, Zapata Computing
    • Rutgers University

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage (Part 2)

  ORAL

  March 6, 2023, 5:36 PM – March 6, 2023, 5:48 PM

  Publication: Part 1: https://arxiv.org/abs/2208.13673
  Part 2: https://arxiv.org/abs/2209.00595

  Presenters

  • Jacob E Miller

    • Zapata Computing
    • Zapata Computing Inc.

  Authors

  • Jacob E Miller

    • Zapata Computing
    • Zapata Computing Inc.

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  • Jing Chen

    • Zapata Computing Inc.
    • Zapata Computing Inc
    • Zapata Computing

  • Atithi Acharya

    • Rutgers University, Zapata Computing
    • Rutgers University

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →