Quantum Machine Learning IV

Presentations

• Non-Boolean Quantum Amplitude Amplification and Machine Learning applications

  ORAL

  March 18, 2022, 12:30 PM – March 18, 2022, 12:42 PM

  Publication: 1. Non-Boolean Quantum Amplitude Amplification and Quantum Mean Estimation, arXiv:2102.04975 [quant-ph]<br>2. Training Quantum Machines with Non-Boolean Amplification, [future]

  Presenters

  • Prasanth Shyamsundar

    Fermilab

  Authors

  • Prasanth Shyamsundar

    Fermilab

  • Evan Peters

    University of Waterloo

  View abstract →

• Quantum State Tomography with Mode-assisted Training

  ORAL

  March 18, 2022, 12:42 PM – March 18, 2022, 12:54 PM

  Publication: M. Di Ventra, MemComputing: Fundamentals and Applications (OUP, 2022)

  Presenters

  • Yuan-Hang Zhang

    University of California, San Diego

  Authors

  • Yuan-Hang Zhang

    University of California, San Diego

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• Quantum Cross Entropy in Quantum Machine Learning

  ORAL

  March 18, 2022, 12:54 PM – March 18, 2022, 1:06 PM

  Publication: https://arxiv.org/abs/2102.11887;<br>https://arxiv.org/abs/2106.13823

  Presenters

  • Shangnan Zhou

    Stanford University

  Authors

  • Shangnan Zhou

    Stanford University

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• Quantum constraint learning for quantum approximate optimization algorithm

  ORAL

  March 18, 2022, 1:06 PM – March 18, 2022, 1:18 PM

  Publication: https://arxiv.org/abs/2105.06770

  Presenters

  • Santosh Radha

    Agnostiq Inc, Case Western Reserve University

  Authors

  • Santosh Radha

    Agnostiq Inc, Case Western Reserve University

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• Approximating Entanglement Measures Using VQA

  ORAL

  March 18, 2022, 1:18 PM – March 18, 2022, 1:30 PM

  Publication: planned paper: Approximating Entanglement Measures Using VQA

  Presenters

  • Ryan T McGaha

    University of South Carolina

  Authors

  • Ryan T McGaha

    University of South Carolina

  • George Androulakis

    Univ of South Carolina

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• Topological and geometric patterns in optimal bang-bang protocols for variational quantum algorithms: application to the XXZ model on the square lattice

  ORAL

  March 18, 2022, 1:30 PM – March 18, 2022, 1:42 PM

  Publication: arXiv:2012.05476

  Presenters

  • Armin Rahmani

    Western Washington University

  Authors

  • Armin Rahmani

    Western Washington University

  • Matthew T Scoggins

    Western Washington University

  View abstract →

• Quantum Algorithm for Topological Data Analysis

  ORAL

  March 18, 2022, 1:42 PM – March 18, 2022, 1:54 PM

  Presenters

  • Bernardo Ameneyro

    University of Tennessee, Knoxville

  Authors

  • Bernardo Ameneyro

    University of Tennessee, Knoxville

  • George Siopsis

    University of Tennessee

  • Vasileios Maroulas

    University of Tennessee

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• Shapes of quantum entanglement with persistent homology

  ORAL

  March 18, 2022, 1:54 PM – March 18, 2022, 2:06 PM

  Publication: [1] Olsthoorn B., Balatsky A. V. (2021). Persistent homology of quantum entanglement – arXiv:2110.10214

  Presenters

  • Bart Olsthoorn

    KTH Royal Institute of Technology

  Authors

  • Bart Olsthoorn

    KTH Royal Institute of Technology

  • Alexander V Balatsky

    University of Connecticut

  View abstract →

• Quantum Supervised Learning Method for Outlier Detection

  ORAL

  March 18, 2022, 2:06 PM – March 18, 2022, 2:18 PM

  Publication: Hughes et al. (in prep)

  Presenters

  • Anna Hughes

    Agnostiq Inc

  Authors

  • Anna Hughes

    Agnostiq Inc

  • Santosh Radha

    Agnostiq Inc, Case Western Reserve University

  • Jack S Baker

    Agnostiq, University College London

  View abstract →

• Quantum continual learning overcoming catastrophic forgetting

  ORAL

  March 18, 2022, 2:18 PM – March 18, 2022, 2:30 PM

  Presenters

  • Wenjie Jiang

    Tsinghua University

  Authors

  • Wenjie Jiang

    Tsinghua University

  • Zhide Lu

    Tsinghua University

  • Dong-Ling Deng

    Tsinghua University, Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, People's Republic of China

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• Subtleties in the trainability of quantum machine learning models

  ORAL

  March 18, 2022, 2:30 PM – March 18, 2022, 2:42 PM

  Presenters

  • Supanut Thanasilp

    Natl Univ of Singapore

  Authors

  • Supanut Thanasilp

    Natl Univ of Singapore

  • Samson Wang

    Imperial College London

  • Nhat A Nghiem

    State University of New York at Stony Brook, Stony Brook University (SUNY)

  • Patrick J Coles

    Los Alamos National Laboratory

  • Marco Cerezo

    Los Alamos National Laboratory

  View abstract →

• Closing in on Practical Quantum Advantage for Combinatorial Optimization with Quantum Generative Models (Part 1)

  ORAL

  March 18, 2022, 2:42 PM – March 18, 2022, 2:54 PM

  Presenters

  • Alejandro Perdomo-Ortiz

    Zapata Computing Inc

  Authors

  • Alejandro Perdomo-Ortiz

    Zapata Computing Inc

  • Francisco J Fernandez Alcazar

    Zapata Computing Inc

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• Closing in on Practical Quantum Advantage for Combinatorial Optimization with Quantum Generative Models (Part 2)

  ORAL

  March 18, 2022, 2:54 PM – March 18, 2022, 3:06 PM

  Presenters

  • Francisco J Fernandez Alcazar

    Zapata Computing Inc

  Authors

  • Alejandro Perdomo-Ortiz

    Zapata Computing Inc

  • Francisco J Fernandez Alcazar

    Zapata Computing Inc

  View abstract →

• Differentiable Quantum Circuits for Solving Differential Equations and Generating Time Series

  ORAL

  March 18, 2022, 3:06 PM – March 18, 2022, 3:18 PM

  Publication: https://doi.org/10.1103/PhysRevA.103.052416<br>https://arxiv.org/abs/2108.03190

  Presenters

  • Annie E Paine

    University of Exeter

  Authors

  • Annie E Paine

    University of Exeter

  • Oleksandr Kyriienko

    University of Exeter

  • Vincent E Elfving

    Qu&Co

  View abstract →

• Quantum algorithm for the spectral analysis of a random walk operator with the application in manifold learning

  ORAL

  March 18, 2022, 3:18 PM – March 18, 2022, 3:30 PM

  Publication: https://arxiv.org/abs/2106.07302 (accepted for publication in Physical Review A. currently in production)

  Presenters

  • Apimuk Sornsaeng

    Chula Intelligent and Complex Systems Lab, Department of Physics, Chulalongkorn University, Thailand

  Authors

  • Apimuk Sornsaeng

    Chula Intelligent and Complex Systems Lab, Department of Physics, Chulalongkorn University, Thailand

  • Ninnat Dangniam

    The Institute for Fundamental Study, Naresuan University, Thailand

  • Pantita Palittapongarnpim

    Chula Intelligent and Complex Systems Lab, Department of Physics, Chulalongkorn University, Thailand, Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Thailand

  • Thiparat Chotibut

    Chula Intelligent and Complex Systems Lab, Department of Physics, Chulalongkorn University, Thailand, Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand, Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Thailand

  View abstract →