A quantum-inspired approach to exploit turbulence structures

Link:
Autor/in:
Beteiligte Personen:
  • Lubasch , Michael
  • Dolgov, Sergey
  • van den Berg, Quincy Y.
  • Babaee, Hessam
  • Givi, Peyman
  • Kiffner, Martin
  • Jaksch, Dieter
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2022
Medientyp:
Datensatz
Schlagworte:
  • QCFD
  • computational physics
  • computational fluid dynamics
  • compressed data structures
  • quantum computing
  • quantum information theory
Beschreibung:

  • This capsule contains code and data associated with the publication "N. Gourianov et al, A Quantum Inspired Approach to Turbulence Structures", arXiv:2106.05782. Figs. 1,2 and 3 of that paper can be reproduced using the MATLAB programs located in the /code/ folder. The folder also contains the implementation (in C) of the tensor network algorithm described in the paper. This algorithm was used to perform simulations described in the paper, and the output of these tensor network simulations are located in the /data/ folder

  • {"references": ["10.1038/s43588-021-00181-1"]}
Beziehungen:
DOI 10.25592/uhhfdm.14233
Lizenz:
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsdatenrepositorium der UHH
Interne Metadaten
Quelldatensatz
oai:fdr.uni-hamburg.de:14234