Quantum Neural Networks

Presentations

• Learning in Finitely-Sampled Quantum Systems 1: Expressive Capacity

  ORAL

  March 7, 2023, 6:00 PM – March 7, 2023, 6:12 PM

  Presenters

  • Fangjun Hu

    Princeton University

  Authors

  • Fangjun Hu

    Princeton University

  • Gerasimos M Angelatos

    BBN Technology - Massachusetts, Princeton University

  • Saeed A Khan

    Princeton University

  • Marti Vives

    Q-CTL, Q-CTRL

  • Esin Tureci

    Princeton University

  • Leon Y Bello

    Princeton, Princeton University

  • Graham E Rowlands

    BBN Technology - Massachusetts, Raytheon BBN Technologies

  • Guilhem J Ribeill

    Raytheon BBN, Raytheon BBN Technologies

  • Hakan E Tureci

    Princeton University

  View abstract →

• Learning in Finitely-Sampled Quantum Systems 2: Applications

  ORAL

  March 7, 2023, 6:12 PM – March 7, 2023, 6:24 PM

  Presenters

  • Gerasimos M Angelatos

    BBN Technology - Massachusetts, Princeton University

  Authors

  • Gerasimos M Angelatos

    BBN Technology - Massachusetts, Princeton University

  • Fangjun Hu

    Princeton University

  • Saeed A Khan

    Princeton University

  • Marti Vives

    Q-CTL, Q-CTRL

  • Esin Tureci

    Princeton University

  • Leon Y Bello

    Princeton, Princeton University

  • Graham E Rowlands

    BBN Technology - Massachusetts, Raytheon BBN Technologies

  • Guilhem J Ribeill

    Raytheon BBN, Raytheon BBN Technologies

  • Hakan E Tureci

    Princeton University

  View abstract →

• Quantum Persistent Homology for Time Series

  ORAL

  March 7, 2023, 6:24 PM – March 7, 2023, 6:36 PM

  Publication: Ameneyro, B., Siopsis, G., and Maroulas, V.. Quantum Persistent Homology for Time Series. ACM/IEEE International Workshop on Quantum Computing 2022.

  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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• On training variational quantum circuits

  ORAL

  March 7, 2023, 6:36 PM – March 7, 2023, 6:48 PM

  Publication: Quantum machine learning<br>J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, and S Lloyd <br>Nature 549, 195–202 (2017) 10.1038/nature23474<br><br>Ion-native variational ansatz for quantum approximate optimization<br>D Rabinovich, S Adhikary, E Campos, V Akshay, E Anikin, R Sengupta, O Lakhmanskaya, K Lakhmanskiy, and J Biamonte<br>Physical Review A 106, 032418 (2022) 10.1103/PhysRevA.106.032418<br><br>Progress towards analytically optimal angles in quantum approximate optimisation<br>D Rabinovich, R Sengupta, E Campos, V Akshay, and J Biamonte <br>Mathematics 10, 2601 (2022) 10.3390/math10152601<br><br>Reachability deficits implicit in quantum approximate optimization of graph problems<br>V Akshay, H Philathong, I Zacharov, and J Biamonte <br>Quantum 5, 532 (2021) 10.22331/q-2021-08-30-532<br><br>Parameter concentrations in quantum approximate optimization<br>V Akshay, D Rabinovich, E Campos, and J Biamonte <br>(Letter) Physical Review A 104, L010401 (2021) 10.1103/PhysRevA.104.L010401<br><br>Universal variational quantum computation<br>J Biamonte<br>(Letter) Physical Review A 103, L030401 (2021) 10.1103/PhysRevA.103.L030401<br><br>Quantum machine learning tensor network states<br>A Kardashin, A Uvarov, and J Biamonte <br>Frontiers in Physics 8, 586374 (2021) 10.3389/fphy.2020.586374<br><br>Variational simulation of Schwinger's Hamiltonian with polarization qubits<br>O Borzenkova, G Struchalin, A Kardashin, V Krasnikov, N Skryabin, S Straupe, S Kulik, and J Biamonte <br>Applied Physics Letters 118, 144002 (2021) 10.1063/5.0043322<br><br>Abrupt transitions in variational quantum circuit training<br>E Campos, A Nasrallah, and J Biamonte <br>Physical Review A 103, 032607 (2021) 10.1103/PhysRevA.103.032607<br><br>Training saturation in layerwise quantum approximate optimisation<br>E Campos, D Rabinovich, V Akshay, and J Biamonte<br>(Letter) Physical Review A 104, L030401 (2021) 10.1103/PhysRevA.104.L030401<br><br>On barren plateaus and cost function locality in variational quantum algorithms<br>A Uvarov and J Biamonte<br>Journal of Physics A: Mathematical and Theoretical 54, 245–301 (2021) 10.1088/1751-8121/abfac7<br><br>Reachability deficits in quantum approximate optimization<br>V Akshay, H Philathong, M Morales, and J Biamonte <br>Physical Review Letters 124, 090504 (2020) 10.1103/PhysRevLett.124.090504<br><br>On the universality of the quantum approximate optimization algorithm<br>M Morales, J Biamonte, and Z Zimborás <br>Quantum Information Processing 19, 291 (2020) 10.1007/s11128-020-02748-9<br><br>Variational quantum eigensolver for frustrated quantum systems<br>A Uvarov, J Biamonte, and D Yudin <br>Physical Review B 102, 075104 (2020) 10.1103/PhysRevB.102.075104<br><br>Machine learning phase transitions with a quantum processor<br>A Uvarov, A Kardashin, and J Biamonte <br>Physical Review A 102, 012415 (2020) 10.1103/PhysRevA.102.012415<br><br>Variational learning of Grover's quantum search algorithm<br>M Morales, T Tlyachev, and J Biamonte <br>Physical Review A 98, 062333 (2018) 10.1103/PhysRevA.98.062333

  Presenters

  • Jacob Biamonte

    Beijing Institute of Mathematical Sciences and Applications

  Authors

  • Jacob Biamonte

    Beijing Institute of Mathematical Sciences and Applications

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• Solving Efficiently Variational Quantum Circuits with Flat Landscapes

  ORAL

  March 7, 2023, 6:48 PM – March 7, 2023, 7:00 PM

  Presenters

  • David P Fitzek

    Chalmers Univ of Tech

  Authors

  • David P Fitzek

    Chalmers Univ of Tech

  • Robert Jonsson

    Chalmers University of Technology

  • Christian Schaefer

    Chalmers University of Technology

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• Novel Data Encoding Method for Quantum Machine Learning

  ORAL

  March 7, 2023, 7:00 PM – March 7, 2023, 7:12 PM

  Presenters

  • Kaiwen Gui

    University of Chicago

  Authors

  • Kaiwen Gui

    University of Chicago

  • Alexander M Dalzell

    AWS Center for Quantum Computing

  • Alessandro Achille

    AWS AI Labs

  • Martin Suchara

    Amazon Web Services, Amazon Web Service

  • Frederic T Chong

    University of Chicago, Department of Computer Science, University of Chicago, ColdQuanta Inc.

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• Efficient and Large-Scale Semidefinite Programming with Quantum Neural Networks

  ORAL · Invited

  March 7, 2023, 7:12 PM – March 7, 2023, 7:48 PM

  Publication: https://arxiv.org/abs/2206.14999

  Presenters

  • Taylor L Patti

    NVIDIA, Harvard University

  Authors

  • Taylor L Patti

    NVIDIA, Harvard University

  • Jean Kossaifi

    NVIDIA

  • Anima Anandkumar

    Caltech, CalTech, NVIDIA

  • Susanne F Yelin

    Harvard University

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• Signatures of double descent in deep quantum models

  ORAL

  March 7, 2023, 7:48 PM – March 7, 2023, 8:00 PM

  Presenters

  • Aroosa Ijaz

    Univeristy of Waterloo

  Authors

  • Aroosa Ijaz

    Univeristy of Waterloo

  • Jason W Rocks

    Boston University

  • Juan Carrasquilla

    Vector Institute for Artificial Intelligence

  • Evan Peters

    University of Waterloo

  • Marco Cerezo

    Los Alamos National Laboratory

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• Quantifying Information Flow in Parametrized Quantum Circuits.

  ORAL

  March 7, 2023, 8:00 PM – March 7, 2023, 8:12 PM

  Publication: Information flow in parameterized quantum circuits (arXiv:2207.05149)

  Presenters

  • Lasse B Kristensen

    University of Toronto

  Authors

  • Lasse B Kristensen

    University of Toronto

  • Abhinav Anand

    University of Toronto

  • Felix Frohnert

    University of Copenhagen

  • Sukin Sim

    Harvard, Zapata Computing

  • Alán Aspuru-Guzik

    University of Toronto, University of Toronto, Vector Institute for Artificial Intelligence, Canadian Institute for Advanced Research Lebovic Fellow

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• Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks

  ORAL

  March 7, 2023, 8:12 PM – March 7, 2023, 8:24 PM

  Publication: https://arxiv.org/abs/2210.09974

  Presenters

  • Louis Schatzki

    University of Illinois at Urbana-Champai

  Authors

  • Louis Schatzki

    University of Illinois at Urbana-Champai

  • Martin Larocca

    Los Alamos National Laboratoy

  • Frédéric Sauvage

    Los Alamos National Laboratory

  • Marco Cerezo

    Los Alamos National Laboratory

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• The Quantum Lottery Ticket Hypothesis

  ORAL

  March 7, 2023, 8:24 PM – March 7, 2023, 8:36 PM

  Presenters

  • William A Simon

    Tufts University

  Authors

  • William A Simon

    Tufts University

  • Sukin Sim

    Harvard, Zapata Computing

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• Demystifying a generative Quantum Machine Learning model using Information scrambling and Imaginary components of out-of-time correlators.

  ORAL

  March 7, 2023, 8:36 PM – March 7, 2023, 8:48 PM

  Publication: Imaginary components of out-of-time correlators and information scrambling for navigating the learning landscape of a quantum machine learning model. arXiv:2208.13384 [quant-ph]

  Presenters

  • Vinit K Singh

    Purdue University

  Authors

  • Manas Sajjan

    Purdue University

  • Vinit K Singh

    Purdue University

  • Sabre Kais

    Purdue University

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• Evaluating the performance of sigmoid quantum perceptrons in quantum neural networks

  ORAL

  March 7, 2023, 8:48 PM – March 7, 2023, 9:00 PM

  Publication: arXiv:2208.06198

  Presenters

  • Samuel A Wilkinson

    Friedrich-Alexander University Erlangen-Nuremberg

  Authors

  • Samuel A Wilkinson

    Friedrich-Alexander University Erlangen-Nuremberg

  • Michael J Hartmann

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

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