Quantum Machine Learning I

Presentations

• Improved Training of Quantum Boltzmann Machines

  ORAL

  March 5, 2019, 8:00 AM – March 5, 2019, 8:12 AM

  Presenters

  • Eric Anschuetz

    • Zapata Computing

  Authors

  • Eric Anschuetz

    • Zapata Computing

  • Yudong Cao

    • Zapata Computing
    • Zapata Computing, Inc.

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• Measurement-based adaptation protocol with quantum reinforcement learning

  ORAL

  March 5, 2019, 8:12 AM – March 5, 2019, 8:24 AM

  Presenters

  • Lucas Lamata

    • University of the Basque Country
    • Department of Physical Chemistry, University of the Basque Country, Bilbao, Spain

  Authors

  • Lucas Lamata

    • University of the Basque Country
    • Department of Physical Chemistry, University of the Basque Country, Bilbao, Spain

  • Francisco Albarrán-Arriagada

    • Universidad de Santiago de Chile

  • Juan Carlos Retamal

    • Universidad de Santiago de Chile

  • Enrique Solano

    • University of the Basque Country
    • Department of Physical Chemistry, University of the Basque Country, Bilbao, Spain

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• Improving training of Boltzmann machines with error corrected quantum annealing

  ORAL

  March 5, 2019, 8:24 AM – March 5, 2019, 8:36 AM

  Presenters

  • Richard Li

    • University of Southern California

  Authors

  • Richard Li

    • University of Southern California

  • Daniel A Lidar

    • University of Southern California
    • Univ of Southern California

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• Opportunities and Challenges in Quantum-Assisted Machine Learning

  Invited

  March 5, 2019, 8:36 AM – March 5, 2019, 9:12 AM

  Presenters

  • Alejandro Perdomo

    • Rigetti Computing

  Authors

  • Alejandro Perdomo

    • Rigetti Computing

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• Quantum generative adversarial learning in a superconducting quantum circuit

  ORAL

  March 5, 2019, 9:12 AM – March 5, 2019, 9:24 AM

  Presenters

  • Yuwei Ma

    • Tsinghua University

  Authors

  • Hu Ling

    • Tsinghua University

  • shuhao wu

    • USTC

  • Weizhou Cai

    • Tsinghua University

  • Yuwei Ma

    • Tsinghua University

  • Xianghao Mu

    • Tsinghua University

  • Yuan Xu

    • Tsinghua University

  • Haiyan Wang

    • Tsinghua University

  • Yipu Song

    • IIIS, Tsinghua University
    • Tsinghua University

  • Dong-Ling Deng

    • Institute for Interdisciplinary Information Sciences, Tsinghua University
    • Tsinghua University
    • University of Maryland

  • Chang-Ling Zou

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

  • Luyan Sun

    • Tsinghua University

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• Noncommutative Boltzmann Machines

  ORAL

  March 5, 2019, 9:24 AM – March 5, 2019, 9:36 AM

  Presenters

  • Mark Novotny

    • Mississippi State University

  Authors

  • Mark Novotny

    • Mississippi State University

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• Hybrid quantum-classical schemes for generative adversarial learning: HQGANs

  ORAL

  March 5, 2019, 9:36 AM – March 5, 2019, 9:48 AM

  Presenters

  • Jhonathan Romero

    • Harvard University
    • Zapata Computing

  Authors

  • Jhonathan Romero

    • Harvard University
    • Zapata Computing

  • Alan Aspuru-Guzik

    • Zapata Computing
    • Chemistry and Computer Science, University of Toronto
    • University of Toronto, Department of Chemistry, and Computer Science
    • Department of Chemistry and Department of Computer Science, University of Toronto; Vector Institute for Artificial Intelligence, Toronto; Canadian Institute for Advanced Rese
    • University of Toronto

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• Variational circuits for machine learning with near-term devices

  ORAL

  March 5, 2019, 9:48 AM – March 5, 2019, 10:00 AM

  Presenters

  • Maria Schuld

    • University of KwaZulu-Natal
    • University of KwaZulu-Natal and Xanadu

  Authors

  • Maria Schuld

    • University of KwaZulu-Natal
    • University of KwaZulu-Natal and Xanadu

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• Quantum Manifold Learning Algorithms for Dimensionality Reduction

  ORAL

  March 5, 2019, 10:00 AM – March 5, 2019, 10:12 AM

  Presenters

  • Xi He

    • University of Electronic Science and Technology of China

  Authors

  • Xi He

    • University of Electronic Science and Technology of China

  • Li Sun

    • University of Electronic Science and Technology of China

  • Xiaokai Hou

    • University of Electronic Science and Technology of China

  • Xiaoting Wang

    • University of Electronic Science and Technology of China

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• Differentiable Quantum Circuits and Generative Modeling

  ORAL

  March 5, 2019, 10:12 AM – March 5, 2019, 10:24 AM

  Presenters

  • JinGuo Liu

    • Institute of Physics, Chinese Academy of Sciences

  Authors

  • JinGuo Liu

    • Institute of Physics, Chinese Academy of Sciences

  • Lei Wang

    • Institute of Physics
    • Institute of Physics, Chinese Academy of Sciences
    • Institute of Physics Chinese Academy of Sciences

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• Machine-learned QCVV for distinguishing single-qubit noise

  ORAL

  March 5, 2019, 10:24 AM – March 5, 2019, 10:36 AM

  Presenters

  • Travis Scholten

    • T. J. Watson Research Center, IBM

  Authors

  • Travis Scholten

    • T. J. Watson Research Center, IBM

  • Yi-Kai Liu

    • NIST

  • Kevin Young

    • Sandia National Laboratories

  • Robin Blume-Kohout

    • Center for Computing Research, Sandia National Laboratories
    • Sandia National Laboratories

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• Quantum optical neural networks for next generation quantum information processing

  ORAL

  March 5, 2019, 10:36 AM – March 5, 2019, 10:48 AM

  Presenters

  • Jonathan Olson

    • Zapata Computing

  Authors

  • Gregory R Steinbrecher

    • Research Laboratory of Electronics, Massachusetts Institute of Technology

  • Jonathan Olson

    • Zapata Computing

  • Dirk R. Englund

    • Electrical Engineering and Computer Science, MIT
    • Massachusetts Institute of Technology
    • MIT
    • EECS, MIT
    • Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology

  • Jacques Carolan

    • Research Laboratory of Electronics, Massachusetts Institute of Technology

  View abstract →