001041808 001__ 1041808
001041808 005__ 20250515105836.0
001041808 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02443
001041808 037__ $$aFZJ-2025-02443
001041808 041__ $$aEnglish
001041808 1001_ $$0P:(DE-HGF)0$$aGörtz, Stefan$$b0$$eCorresponding author
001041808 1112_ $$a35th Parallel CFD International Conference 2024$$cBonn$$d2024-09-02 - 2024-09-04$$gParCFD 2024$$wGermany
001041808 245__ $$aStrategies for the Application of Quantum Computers in Computational Fluid Dynamics
001041808 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2025
001041808 29510 $$aProceedings of the 35th Parallel CFD International Conference 2024
001041808 300__ $$a13 - 15
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001041808 4900_ $$aSchriften des Forschungszentrums Jülich IAS Series$$v69
001041808 520__ $$aA 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.
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001041808 7001_ $$0P:(DE-HGF)0$$aLanger, Stefan$$b1
001041808 770__ $$z978-3-95806-819-3
001041808 773__ $$a10.34734/FZJ-2025-02443
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