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| 001 | 1041808 | ||
| 005 | 20250515105836.0 | ||
| 024 | 7 | _ | |2 datacite_doi |a 10.34734/FZJ-2025-02443 |
| 037 | _ | _ | |a FZJ-2025-02443 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Görtz, Stefan |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 35th Parallel CFD International Conference 2024 |c Bonn |d 2024-09-02 - 2024-09-04 |g ParCFD 2024 |w Germany |
| 245 | _ | _ | |a Strategies for the Application of Quantum Computers in Computational Fluid Dynamics |
| 260 | _ | _ | |a Jülich |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |c 2025 |
| 295 | 1 | 0 | |a Proceedings of the 35th Parallel CFD International Conference 2024 |
| 300 | _ | _ | |a 13 - 15 |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
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| 490 | 0 | _ | |a Schriften des Forschungszentrums Jülich IAS Series |v 69 |
| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Langer, Stefan |b 1 |
| 770 | _ | _ | |z 978-3-95806-819-3 |
| 773 | _ | _ | |a 10.34734/FZJ-2025-02443 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1041808/files/107.pdf |y OpenAccess |
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