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Correlations, Shapes, and Fragmentations of Ultracold Matter

  • 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

摘要

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.