Quantum Machine Learning Algorithms

Presentations

• Overview of algorithms in quantum machine learning

  ORAL · Invited

  March 8, 2024, 11:30 AM – March 8, 2024, 12:06 PM

  Presenters

  • Srinivasan Arunachalam

    • IBM Quantum

  Authors

  • Srinivasan Arunachalam

    • IBM Quantum

  View abstract →

• Training Support Vector Machines on Adiabatic Quantum Computers

  ORAL

  March 8, 2024, 12:06 PM – March 8, 2024, 12:18 PM

  Publication: Planned paper on "Adiabatic Quantum Support Vector Machines" submitted to Nature Computational Science.

  Presenters

  • Prasanna Date

    • Oak Ridge National Laboratory

  Authors

  • Prasanna Date

    • Oak Ridge National Laboratory

  • Dong Jun Woun

    • University of Tennessee, Knoxville

  • Kathleen E Hamilton

    • Oak Ridge National Laboratory

  • Eduardo A Coello Perez

    • Oak Ridge National Laboratory

  • Mayanka Chandra Shekar

    • Oak Ridge National Laboratory

  • Francisco Rios

    • Oak Ridge National Laboratory

  • John Gounley

    • Oak Ridge National Laboratory

  • In-Saeng Suh

    • Oak Ridge National Laboratory

  • Travis S Humble

    • Oak Ridge National Laboratory
    • ORNL
    • Oak Ridge National Lab

  • Georgia Tourassi

    • Oak Ridge National Laboratory

  View abstract →

• Statistical Zero Knowledge Problems Inspire Novel Classification Tasks for the Quantum Kernel Support Vector Machine

  ORAL

  March 8, 2024, 12:18 PM – March 8, 2024, 12:30 PM

  Publication: https://drive.google.com/file/d/1n_4bF7pjnmOSzTvntT9y3kKcpzf4sy4L/view?usp=drivesdk
  
  Current manuscript

  Presenters

  • Saleh Naghdi

    • University of New South Wales

  Authors

  • Saleh Naghdi

    • University of New South Wales

  • Casey R Myers

    • University of New South Wales
    • Silicon Quantum Computing

  • Michelle Y Simmons

    • University of New South Wales

  View abstract →

• Quantum-classical hybrid algorithm to construct quantum explicit model from quantum kernel method

  ORAL

  March 8, 2024, 12:30 PM – March 8, 2024, 12:42 PM

  Presenters

  • Akimoto Nakayama

    • Osaka University

  Authors

  • Akimoto Nakayama

    • Osaka University

  • Hayata Morisaki

    • Osaka University

  • Kosuke Mitarai

    • Osaka University

  • Keisuke Fujii

    • Osaka University
    • Osaka Univ
    • Graduate School of Engineering Science, Osaka University
    • Osaka University / RIKEN RQC
    • The University of Osaka

  View abstract →

• Training quantum embedding kernels with data re-uploading quantum neural networks

  ORAL

  March 8, 2024, 12:42 PM – March 8, 2024, 12:54 PM

  Publication: P. Rodriguez-Grasa, Y. Ban & M. Sanz, "Training quantum embedding kernels with data re-uploading quantum neural network", in preparation.

  Presenters

  • Pablo Rodriguez-Grasa

    • University of the Basque Country UPV/EHU

  Authors

  • Pablo Rodriguez-Grasa

    • University of the Basque Country UPV/EHU

  • Yue Ban

    • TECNALIA, Basque Research and Technology Alliance

  • Mikel Sanz

    • University of the Basque Country UPV/EHU

  View abstract →

• Quantum Algorithms for State Preparation and Data Classification based on Stabilizer Codes

  ORAL

  March 8, 2024, 12:54 PM – March 8, 2024, 1:06 PM

  Publication: arXiv:2309.10087

  Presenters

  • Eduardo R Mucciolo

    • University of Central Florida

  Authors

  • Eduardo R Mucciolo

    • University of Central Florida

  • Pejman Jouzdani

    • General Atomics

  • H. Arslan Hashim

    • University of Central Florida

  View abstract →

• Quantum fourier vision transformer circuits for variational self-attention-based learning

  ORAL

  March 8, 2024, 1:06 PM – March 8, 2024, 1:18 PM

  Publication: Quantum fourier vision transformer circuits for variational self-attention-based learning (planned)

  Presenters

  • Matthew G Cook

    • Naval Surface Warfare Center Panama City Division

  Authors

  • Ethan N Evans

    • Naval Surface Warfare Center
    • Naval Surface Warfare Center Panama City Division

  • Matthew G Cook

    • Naval Surface Warfare Center Panama City Division

  • Margarite LaBorde

    • Naval Surface Warfare Center - Panama City Division

  • Zachary P Bradshaw

    • Louisiana State University

  • Dominic M Byrne

    • Naval Surface Warfare Center Panama City Division

  View abstract →

• Title: Comparative Study of Classical and Quantum Learning Models: Performance and Embedding Techniques in Binary Classification

  ORAL

  March 8, 2024, 1:18 PM – March 8, 2024, 1:30 PM

  Presenters

  • Nick Stapleton

    • California Polytechnic State University, San Luis Obispo

  Authors

  • Nick Stapleton

    • California Polytechnic State University, San Luis Obispo

  • Vicente Leyton Ortega

    • Oak Ridge National Laboratory

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• Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification

  ORAL

  March 8, 2024, 1:30 PM – March 8, 2024, 1:42 PM

  Publication: https://arxiv.org/abs/2309.09976

  Presenters

  • Romina Yalovetzky

    • JPMorgan Chase

  Authors

  • Romina Yalovetzky

    • JPMorgan Chase

  • Niraj Kumar

    • JPMorgan Chase
    • JPMorgan Chase & Co.

  • Changhao Li

    • JPMorgan Chase
    • JP Morgan Chase

  • Pierre Minssen

    • JPMorgan Chase

  • Marco Pistoia

    • JP Morgan Chase
    • JPMorgan Chase

  View abstract →

• Efficient and quantum-adaptive machine learning with fermion neural networks

  ORAL

  March 8, 2024, 1:42 PM – March 8, 2024, 1:54 PM

  Publication: Efficient and quantum-adaptive machine learning with fermion neural networks, Phys. Rev. Applied 20, 044002 (2023) [Editors' Suggestion].

  Presenters

  • Yi Zhang

    • Peking University

  Authors

  • Yi Zhang

    • Peking University

  View abstract →