Extreme-Scale Computational Science Discovery in Fluid Dynamics and Related Disciplines II

Presentations

• Variational Quantum Algorithms for Computational Fluid Dynamics

  ORAL · Invited

  March 7, 2024, 3:00 PM – March 7, 2024, 3:36 PM

  Publication: - M. Kiffner and D. Jaksch, Tensor network reduced order models for wall-bounded flows, arXiv:2303.03010 (2023), preprint.
  - D. Jaksch, P. Givi, A.J. Daley and T. Rung, Variational Quantum Algorithms for Computational Fluid Dynamics, AIAA Journal 61, 1885 (2023).
  - N. Gourianov, M. Lubasch, S. Dolgov, Q.Y. van den Berg, H. Babaee, P. Givi, M. Kiffner and D. Jaksch, A quantum-inspired approach to exploit turbulence structures, Nature Computational Science 2, 30 (2022).
  - M. Lubasch, J. Joo, P. Moinier, M. Kiffner and D. Jaksch, Variational Quantum Algorithms for Nonlinear Problems, Phys. Rev. A 101, 010301(R) (2020).
  - M. Lubasch, P. Moinier and D. Jaksch, Multigrid Renormalization, J. Comp. Phys. 372, 587 (2018).

  Presenters

  • Dieter Jaksch

    • University of Oxford
    • University of Hamburg

  Authors

  • Dieter Jaksch

    • University of Oxford
    • University of Hamburg

  • Peyman Givi

    • University of Pittsburgh

  • Thomas Rung

    • Technical University of Hamburg

  • Andrew J Daley

    • University of Strathclyde

  • Martin Kiffner

    • Planqc

  View abstract →

• Methods to enable quantum Monte Carlo simulations of complex functional materials with large atom count on accelerators

  ORAL

  March 7, 2024, 3:36 PM – March 7, 2024, 3:48 PM

  Presenters

  • Ye Luo

    • Argonne National Laboratory

  Authors

  • Ye Luo

    • Argonne National Laboratory

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• Fast Discrete Laplace Transforms

  ORAL

  March 7, 2024, 3:48 PM – March 7, 2024, 4:00 PM

  Publication: Y. L. Loh, Fast discrete Laplace transforms, J. Comput. Math. and Data Sci. 8, 100082 (2023)

  Presenters

  • Yen Lee Loh

    • University of North Dakota

  Authors

  • Yen Lee Loh

    • University of North Dakota

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• Probing hydrodynamic crossovers with dissipation-assisted operator evolution

  ORAL

  March 7, 2024, 4:00 PM – March 7, 2024, 4:12 PM

  Presenters

  • Srivatsa N S

    • King's College London

  Authors

  • Srivatsa N S

    • King's College London

  • Oliver Lunt

    • King's College London

  • Curt von Keyserlingk

    • King's College London

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• Continuum limit of finite density many-body ground states with MERA

  ORAL

  March 7, 2024, 4:12 PM – March 7, 2024, 4:24 PM

  Presenters

  • Subhayan Sahu

    • Perimeter Institute

  Authors

  • Subhayan Sahu

    • Perimeter Institute

  • Guifré Vidal

    • Google Quantum AI

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• Structural Search of the Multi-scale Entanglement Renormalization Ansatz with Parallel Tempering Approach

  ORAL

  March 7, 2024, 4:24 PM – March 7, 2024, 4:36 PM

  Presenters

  • Ryo Watanabe

    • Osaka University

  Authors

  • Ryo Watanabe

    • Osaka University

  • Hiroshi Ueda

    • Center for Quantum Information and Quantum Biology, Osaka University
    • Osaka University

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• A Quantum Monte Carlo Algorithm for arbitrary spin-1/2 Hamiltonians

  ORAL

  March 7, 2024, 4:36 PM – March 7, 2024, 4:48 PM

  Publication: https://arxiv.org/abs/2307.06503

  Presenters

  • Arman Babakhani

    • University of Southern California

  Authors

  • Arman Babakhani

    • University of Southern California

  • Itay Hen

    • University of Southern California

  • Lev Y Barash

    • University of Southern California

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• A Self-Adaptive Spin-Constrained First-Principles Approach for Excited Magnetic States

  ORAL

  March 7, 2024, 4:48 PM – March 7, 2024, 5:00 PM

  Publication: https://doi.org/10.48550/arXiv.2208.04551

  Presenters

  • Zefeng Cai

    • Carnegie Mellon University

  Authors

  • Zefeng Cai

    • Carnegie Mellon University

  • Ben Xu

    • Graduate School of China Academy of Engineering Physics

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• Revisiting the mathematical foundations of cluster expansion

  ORAL

  March 7, 2024, 5:00 PM – March 7, 2024, 5:12 PM

  Presenters

  • Gus L Hart

    • Brigham Young University

  Authors

  • Gus L Hart

    • Brigham Young University

  View abstract →