V: Quantum Machine Learning

Presentations

• Experimental Quantum End-to-End Learning on a Superconducting Processor

  ORAL

  March 22, 2023, 12:30 PM – March 22, 2023, 12:42 PM

  Publication: https://arxiv.org/abs/2203.09080

  Presenters

  • Xiaoxuan Pan

    • Tsinghua University

  Authors

  • Xiaoxuan Pan

    • Tsinghua University

  • Xi Cao

    • Tsinghua University

  • Weiting Wang

    • Tsinghua University

  • Ziyue Hua

    • Tsinghua University

  • Weizhou Cai

    • Tsinghua University
    • 1.Tsinghua University 2.Beijing academy of quantum information sciences, Beijing, China

  • Xuegang Li

    • Tsinghua University

  • Haiyan Wang

    • Tsinghua University

  • Jiaqi Hu

    • Tsinghua University

  • Yipu Song

    • Tsinghua University

  • Dong-Ling Deng

    • Tsinghua University

  • Chang-Ling Zou

    • University of Science and Technology of China
    • Key Laboratory of Quantum Information, CAS, University of Science and Technology of China

  • Re-Bing Wu

    • Tsinghua University

  • Luyan Sun

    • Tsinghua University

  View abstract →

• Comparing Generalization Performances of Quantum and Classical Generative Models

  ORAL

  March 22, 2023, 12:42 PM – March 22, 2023, 12:54 PM

  Presenters

  • Mohamed Hibat-Allah

    • University of Waterloo/Vector Institute/Zapata Computing

  Authors

  • Mohamed Hibat-Allah

    • University of Waterloo/Vector Institute/Zapata Computing

  • Marta Mauri

    • Zapata Computing Canada

  • Manuel S Rudolph

    • Zapata Computing Inc./ EPFL

  • Alejandro Perdomo-Ortiz

    • Zapata Computing Inc
    • Zapata Computing

  View abstract →

• Enhancing Quantum Adversarial Robustness via Randomized Encodings

  ORAL

  March 22, 2023, 12:54 PM – March 22, 2023, 1:06 PM

  Presenters

  • Weiyuan Gong

    • Tsinghua University

  Authors

  • Weiyuan Gong

    • Tsinghua University

  • Dong Yuan

    • Tsinghua University
    • Center for Quantum Information, IIIS, Tsinghua University

  • Weikang Li

    • Tsinghua University

  • Dong-Ling Deng

    • Tsinghua University

  View abstract →

• Benchmarking of quantum generative adversarial networks using NVIDIA’s Quantum Optimized Device Architecture

  ORAL

  March 22, 2023, 1:06 PM – March 22, 2023, 1:18 PM

  Presenters

  • Pooja Rao

    • Nvidia

  Authors

  • Pooja Rao

    • Nvidia

  • Zohim Chandani

    • NVIDIA

  • Amalee Wilson

    • Stanford University, NVIDIA

  • Eric Schweitz

    • NVIDIA

  • Bruno Schmitt

    • NVIDIA

  • Anthony Santana

    • NVIDIA

  • Bryce A Lelbach

    • NVIDIA

  • Alexander McCaskey

    • NVIDIA

  View abstract →

• Experimental quantum adversarial learning with programmable superconducting qubits

  ORAL

  March 22, 2023, 1:18 PM – March 22, 2023, 1:30 PM

  Publication: Experimental quantum adversarial learning with programmable superconducting qubits, arXiv:2204.01738.

  Presenters

  • Weikang Li

    • Tsinghua University

  Authors

  • Weikang Li

    • Tsinghua University

  View abstract →

• Renormalisation Through The Lens Of QCNNs

  ORAL

  March 22, 2023, 1:30 PM – March 22, 2023, 1:42 PM

  Publication: We plan to write the results of this work up in a future paper (still in preparation) this work focuses on, and extends, the theory aspect of Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases
  J Herrmann, et al - Nature communications, 2022 (arxiv: 2109.05909)

  Presenters

  • Nathan A McMahon

    • Friedrich-Alexander University Erlangen-Nurnberg

  Authors

  • Nathan A McMahon

    • Friedrich-Alexander University Erlangen-Nurnberg

  • Petr Zapletal

    • University of Erlangen-Nuremberg

  • Michael J Hartmann

    • Friedrich-Alexander University Erlangen-Nuremberg
    • Friedrich-Alexander University Erlangen
    • Friedrich-Alexander-Universität Erlangen-Nürnberg

  View abstract →

• Dynamical simulation via quantum machine learning with provable generalization

  ORAL

  March 22, 2023, 1:42 PM – March 22, 2023, 1:54 PM

  Publication: Dynamical simulation via quantum machine learning with provable generalization arXiv:2204.10269

  Presenters

  • Joe Gibbs

    • AWE
    • Atomic Weapons Establishment

  Authors

  • Joe Gibbs

    • AWE
    • Atomic Weapons Establishment

  View abstract →

• Redundant and synergistic coding in a driven nonlinear Bose-Hubbard dimer

  ORAL

  March 22, 2023, 1:54 PM – March 22, 2023, 2:06 PM

  Presenters

  • Krai Cheamsawat

    • Chulalongkorn University

  Authors

  • Krai Cheamsawat

    • Chulalongkorn University

  • Thiparat Chotibut

    • Chulalongkorn University

  View abstract →

• Markovian Quantum Neuroevolution for Machine Learning

  ORAL

  March 22, 2023, 2:06 PM – March 22, 2023, 2:18 PM

  Presenters

  • Zhide Lu

    • Tsinghua University

  Authors

  • Zhide Lu

    • Tsinghua University

  View abstract →

• Learning Protocols for Quantum Entanglement Generation

  ORAL

  March 22, 2023, 2:18 PM – March 22, 2023, 2:30 PM

  Presenters

  • Noah H Johnson

    • Northern Arizona University

  Authors

  • Noah H Johnson

    • Northern Arizona University

  • Jake Navas

    • Northern Arizona University

  • M. Jaden Brewer

    • Northern Arizona University

  • Manuel Guerrero

    • Northern Arizona University

  • Niquo Ceberio

    • Northern Arizona University

  • Inès Montaño

    • Northern Arizona University
    • Northern Arizona U.

  View abstract →