Correlations, Shapes, and Fragmentations of Ultracold Matter
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.