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Quantum-inspired framework for computational fluid dynamics
- Source :
- Communications Physics, Vol 7, Iss 1, Pp 1-7 (2024)
- Publication Year :
- 2024
- Publisher :
- Nature Portfolio, 2024.
-
Abstract
- Abstract Computational fluid dynamics is both a thriving research field and a key tool for advanced industry applications. However, the simulation of turbulent flows in complex geometries is a compute-power intensive task due to the vast vector dimensions required by discretized meshes. We present a complete and self-consistent full-stack method to solve incompressible fluids with memory and run time scaling logarithmically in the mesh size. Our framework is based on matrix-product states, a compressed representation of quantum states. It is complete in that it solves for flows around immersed objects of arbitrary geometries, with non-trivial boundary conditions, and self-consistent in that it can retrieve the solution directly from the compressed encoding, i.e. without passing through the expensive dense-vector representation. This framework lays the foundation for a generation of more efficient solvers of real-life fluid problems.
- Subjects :
- Astrophysics
QB460-466
Physics
QC1-999
Subjects
Details
- Language :
- English
- ISSN :
- 23993650
- Volume :
- 7
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Communications Physics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.06ea119a25c04f5aab02c0fbfd904eef
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s42005-024-01623-8