Quantum Machine Learning II

Presentations

• The Impact of Quantum Noise in Neuromorphic Systems

  ORAL

  March 6, 2019, 8:00 AM – March 6, 2019, 8:12 AM

  Presenters

  • Gerasimos Angelatos

    • Electrical Engineering, Princeton University

  Authors

  • Gerasimos Angelatos

    • Electrical Engineering, Princeton University

  • Hakan Tureci

    • Princeton University
    • Electrical Engineering, Princeton University

  View abstract →

• Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem

  ORAL

  March 6, 2019, 8:12 AM – March 6, 2019, 8:24 AM

  Presenters

  • Gavin Crooks

    • Rigetti Quantum Computing

  Authors

  • Gavin Crooks

    • Rigetti Quantum Computing

  • Nicholas C Rubin

    • Rigetti Quantum Computing

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• Machine Learning Detection of Bell <u>Nonlocality</u> in Quantum Many-Body Systems

  ORAL

  March 6, 2019, 8:24 AM – March 6, 2019, 8:36 AM

  Presenters

  • Dong-Ling Deng

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

  Authors

  • Dong-Ling Deng

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

  View abstract →

• Benchmarking superconducting qubits with generative model learning

  ORAL

  March 6, 2019, 8:36 AM – March 6, 2019, 8:48 AM

  Presenters

  • Kathleen Hamilton

    • Oak Ridge National Laboratory

  Authors

  • Kathleen Hamilton

    • Oak Ridge National Laboratory

  • Eugen Dumitrescu

    • Oak Ridge National Laboratory

  • Holly Stemp

    • University of Surrey

  • Raphael Pooser

    • Oak Ridge National Laboratory

  View abstract →

• Local-measurement-based quantum state tomography via neural networks

  ORAL

  March 6, 2019, 8:48 AM – March 6, 2019, 9:00 AM

  Presenters

  • Bei Zeng

    • University of Guelph

  Authors

  • Bei Zeng

    • University of Guelph

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• Variational Quantum Neural Programming

  ORAL

  March 6, 2019, 9:00 AM – March 6, 2019, 9:12 AM

  Presenters

  • Pierre-Luc Dallaire-Demers

    • Zapata Computing
    • Xanadu

  Authors

  • Pierre-Luc Dallaire-Demers

    • Zapata Computing
    • Xanadu

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• Quantum machine learning: Challenges and Opportunities

  Invited

  March 6, 2019, 9:12 AM – March 6, 2019, 9:48 AM

  Presenters

  • Leonard Wossnig

    • Computer Science, University College London

  Authors

  • Leonard Wossnig

    • Computer Science, University College London

  • Simone Severini

    • University College London
    • Computer Science, University College London

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• A Universal Training Algorithm for Quantum Deep Learning

  ORAL

  March 6, 2019, 9:48 AM – March 6, 2019, 10:00 AM

  Presenters

  • Guillaume Verdon

    • Institute for Quantum Computing

  Authors

  • Guillaume Verdon

    • Institute for Quantum Computing

  • Jason Pye

    • Institute for Quantum Computing

  • Michael Broughton

    • School of Computer Science, University of Waterloo

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• Quantum-classical reinforcement parity learning from noisy classical data

  ORAL

  March 6, 2019, 10:00 AM – March 6, 2019, 10:12 AM

  Presenters

  • Daniel Kyungdeock Park

    • KAIST

  Authors

  • Daniel Kyungdeock Park

    • KAIST

  • Jonghun Park

    • KAIST

  • Suhwang Jeong

    • KAIST

  • Jeongseok Ha

    • KAIST

  • June-Koo(KEVIN) RHEE

    • KAIST

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• Estimating quantum circuit probabilities and Hamiltonian properties using amplitude estimation

  ORAL

  March 6, 2019, 10:12 AM – March 6, 2019, 10:24 AM

  Presenters

  • Hammam Qassim

    • University of Waterloo, Institute for Quantum Computing

  Authors

  • Hammam Qassim

    • University of Waterloo, Institute for Quantum Computing

  View abstract →