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Computational Methods for Statistical Mechanics: Advances and Applications I

FOCUS · MAR-C46 · ID: 3105030

Presentations

  • Permutation matrix representation quantum Monte Carlo: A universal framework for simulating arbitrary quantum many-body systems

    ORAL · Invited

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    Publication: [1] N. Ezzell, L. Barash and I. Hen, "Exact and universal quantum Monte Carlo estimators for energy susceptibility and fidelity susceptibility". Submitted for publication. arXiv:2408.03924 (2024).<br>[2] E. Akaturk and I. Hen, "A quantum Monte Carlo algorithm for Bose-Hubbard models on arbitrary graphs", Phys. Rev. B 109, 134519 (2024).<br>[3] L. Barash, A. Babakhani and I. Hen, "A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians", Phys. Rev. Research 6, 013281 (2024). <br>[4] I. Hen, "Determining quantum Monte Carlo simulability with geometric phases", Physical Review Research 3, 023080 (2021).<br>[5] L. Gupta, T. Albash and I. Hen, "Permutation Matrix Representation Quantum Monte Carlo", J. Stat. Mech. 073105 (2020).

    Presenters

    • Itay Hen

      University of Southern California

    Authors

    • Itay Hen

      University of Southern California

    View abstract →

  • Advanced measurement in quantum Monte Carlo

    ORAL

    –

    Publication: Ezzell, Nic and Itay Hen. "Advanced measurement techniques in quantum Monte Carlo: The permutation matrix representation approach." In preparation.<br><br>Ezzell, Nic, Lev Barash, and Itay Hen. "Exact and universal quantum Monte Carlo estimators for energy susceptibility and fidelity susceptibility." arXiv preprint arXiv:2408.03924 (2024).

    Presenters

    • Nic Ezzell

      University of Southern California

    Authors

    • Nic Ezzell

      University of Southern California

    • Lev Y Barash

      University of Southern California

    • Itay Hen

      University of Southern California

    View abstract →

  • A neural-network quantum state study of the long-range Ising chain

    ORAL

    –

    Publication: J. Kim, D. Kim, and D.-H. Kim, Phys. Rev. E 109, 064103 (2024)

    Presenters

    • Jicheol Kim

      Gwangju Institute of Science and Technology

    Authors

    • Jicheol Kim

      Gwangju Institute of Science and Technology

    • Dong-Hee Kim

      Gwangju Institute of Science and Technology

    • Dongkyu Kim

      Kakao Corporation

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  • The orthorhombic to tetragonal transition in YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub> with a machine learning potential

    ORAL

    –

    Presenters

    • Davide Gambino

      Linkoping University

    Authors

    • Davide Gambino

      Linkoping University

    • Niccolo Di Eugenio

      Politecnico di Torino

    • Jesper Byggmästar

      University of Helsinki

    • Daniele Torsello

      Politecnico di Torino

    • Flyura Djurabekova

      Helsinki Institute of Physics and Department of Physics, University of Helsinki, University of Helsinki

    • Francesco Laviano

      Politecnico di Torino

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  • Taming Chaos by Understanding its Attraction—Guided Monte Carlo Algorithm for Exploring Basins of Attractions

    ORAL

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    Publication: Planned paper: Philipp Hoellmer, Mathias Casiulis, and Stefano Martiniani, "Guided Monte Carlo algorithm for efficiently exploring basins of attractions"

    Presenters

    • Philipp Hoellmer

      New York University, New York University (NYU)

    Authors

    • Philipp Hoellmer

      New York University, New York University (NYU)

    • Mathias Casiulis

      New York University (NYU)

    • Stefano Martiniani

      New York University (NYU)

    View abstract →

  • Developing robust parameter-reduction methods for high-dimensional models

    ORAL

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    Publication: Marcinik J, Toderi M, Bozovic D. "Comparing parameter-reduction methods on a biophysical model of an auditory hair cell." Physical Review Research, 6(033121): 1-14, July 2024. DOI: 10.1103/PhysRevResearch.6.033121

    Presenters

    • Joseph Marcinik

      University of California, Los Angeles

    Authors

    • Joseph Marcinik

      University of California, Los Angeles

    • Dolores Bozovic

      University of California, Los Angeles

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  • Optimizing Seabed Classification

    ORAL

    –

    Publication: Spendlove J, et. al. Information geometric approaches to finding reduced-parameter models for geoacoustic inversion. Talk presented at: International Conference on Theoretical and Computational Acoustics; August 6, 2023; Monterey, CA.<br>S. L. Brunton and J. N. Kutz, Data-driven science and engineering: Machine learning, dynamical systems, and control. (Cambridge University Press, 2022).<br>M. J. Buckingham, The Journal of the Acoustical Society of America 108 (6), 2796-2815 (2000).<br>D. P. Knobles, T. B. Neilsen, W. S. Hodgkiss and J. A. Goff, The Journal of the Acoustical Society of America 155, 3144-3155 (2024).<br>F. B. Jensen, W. A. Kuperman, M. B. Porter and H. Schmidt, (2011).<br>Planned publication, no title yet.

    Presenters

    • Aviana Renee Smith

      Boise State University

    Authors

    • Aviana Renee Smith

      Boise State University

    • Jay C Spendlove

      Brigham Young University

    • Michelle S Wang

      Brigham Young University

    • Tracianne B Neilsen

      Brigham Young University

    • Mark K Transtrum

      Brigham Young University

    View abstract →

  • Applying Permutation Matrix Representation Quantum Monte Carlo to higher-spin systems and fermionic systems

    ORAL

    –

    Publication: [1] L. Gupta, T. Albash, and I. Hen, Permutation matrix representation quantum Monte Carlo, J. Stat. Mech. 2020, 073105 (2020).<br>[2] Lev Barash, Arman Babakhani, Itay Hen, A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians, Phys. Rev. Research 6, 013281 (2024)

    Presenters

    • Lev Y Barash

      University of Southern California

    Authors

    • Lev Y Barash

      University of Southern California

    • Arman Babakhani

      University of Southern California

    • Itay Hen

      University of Southern California

    View abstract →