Quantum Machine Learning I

Presentations

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

  ORAL

  March 6, 2023, 6:00 PM – March 6, 2023, 6:12 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, 6:12 PM – March 6, 2023, 6:24 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, 6:24 PM – March 6, 2023, 6:36 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, 6:36 PM – March 6, 2023, 6:48 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, 6:48 PM – March 6, 2023, 7:00 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, 7:00 PM – March 6, 2023, 7:36 PM

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

  Presenters

  • Jordan Cotler

    Harvard University

  Authors

  • Jordan Cotler

    Harvard University

  View abstract →

• Expressivity and generalization error of projected fidelity quantum kernels

  ORAL

  March 6, 2023, 7:36 PM – March 6, 2023, 7:48 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, 7:48 PM – March 6, 2023, 8:00 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, 8:00 PM – March 6, 2023, 8:12 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, 8:12 PM – March 6, 2023, 8:24 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, 8:24 PM – March 6, 2023, 8:36 PM

  Publication: Part 1: https://arxiv.org/abs/2208.13673<br>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, 8:36 PM – March 6, 2023, 8:48 PM

  Publication: Part 1: https://arxiv.org/abs/2208.13673<br>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 →