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@INPROCEEDINGS{Grtz:1041808,
      author       = {Görtz, Stefan and Langer, Stefan},
      title        = {{S}trategies for the {A}pplication of {Q}uantum {C}omputers
                      in {C}omputational {F}luid {D}ynamics},
      volume       = {69},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2025-02443},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {13 - 15},
      year         = {2025},
      comment      = {Proceedings of the 35th Parallel CFD International
                      Conference 2024},
      booktitle     = {Proceedings of the 35th Parallel CFD
                       International Conference 2024},
      abstract     = {A three-year DLR project entitled “Machine Learning and
                      Quantum Computing – Digitalization of Aircraft Development
                      2.0”, was established in spring 2021 with the goal to
                      investigate whether and how high-fidelity aerodynamic
                      simulations can be carried out using innovative methods from
                      the field of machine learning and in which way these methods
                      can also be implemented on quantum computers.},
      month         = {Sep},
      date          = {2024-09-02},
      organization  = {35th Parallel CFD International
                       Conference 2024, Bonn (Germany), 2 Sep
                       2024 - 4 Sep 2024},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.34734/FZJ-2025-02443},
      url          = {https://juser.fz-juelich.de/record/1041808},
}