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Correlations, Shapes, and Fragmentations of Ultracold Matter

In: High Performance Computing in Science and Engineering '22

Author

Listed:
  • A. U. J. Lode

    (Albert-Ludwigs-Universität Freiburg, Institute of Physics)

  • O. E. Alon

    (University of Haifa, Department of Physics
    University of Haifa, Haifa Research Center for Theoretical Physics and Astrophysics)

  • A. Bhowmik

    (University of Haifa, Department of Physics
    University of Haifa, Haifa Research Center for Theoretical Physics and Astrophysics)

  • M. Büttner

    (Albert-Ludwigs-Universität Freiburg, Institute of Physics)

  • L. S. Cederbaum

    (Universität Heidelberg, Theoretische Chemie, Physikalisch-Chemisches Institut)

  • R. Chitra

    (ETH Zürich, Institute for Theoretical Physics)

  • S. Dutta

    (University of Haifa, Department of Physics
    University of Haifa, Haifa Research Center for Theoretical Physics and Astrophysics)

  • D. Jaksch

    (University of Oxford, Clarendon Laboratory, Department of Physics)

  • H. Kessler

    (Universität Hamburg, Zentrum für Optische Quantentechnologien and Institut für Laser-Physik)

  • C. Lévêque

    (Atominstitut, TU Wien, Vienna Center for Quantum Science and Technology
    University of Vienna, Wolfgang Pauli Institute c/o Faculty of Mathematics)

  • R. Lin

    (ETH Zürich, Institute for Theoretical Physics)

  • P. Molignini

    (University of Cambridge, T.C.M. group, Cavendish Laboratory)

  • L. Papariello

    (RSA FG, Research Studio Data Science)

  • M. C. Tsatsos

    (Honest AI Ltd.)

  • J. Xiang

    (Albert-Ludwigs-Universität Freiburg, Institute of Physics)

Abstract

This 2022 report summarizes our activities at the HLRS facilities (Hawk) in the framework of the multiconfigurational time-dependent Hartree for indistinguishable particles (MCTDH-X) high-performance computation project. Our results are a bottom-up investigation into exciting and intriguing many-body physics and phase diagrams obtained via the direct solution of the many-particle Schrödinger equation and its comparison to experiments, and via machine learning approaches. We investigated ultracold quantum gases for Pauli crystal melting, crystallization in a cavity, breakup and fragmentation of a condensate in the rotating frame, machine learning observables from single-shot images of ultracold atomic systems, and, finally Josephson dynamics of fragmented BECs, respectively.

Suggested Citation

  • A. U. J. Lode & O. E. Alon & A. Bhowmik & M. Büttner & L. S. Cederbaum & R. Chitra & S. Dutta & D. Jaksch & H. Kessler & C. Lévêque & R. Lin & P. Molignini & L. Papariello & M. C. Tsatsos & J. Xiang, 2024. "Correlations, Shapes, and Fragmentations of Ultracold Matter," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '22, pages 63-75, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-46870-4_5
    DOI: 10.1007/978-3-031-46870-4_5
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