Quantum computing CFD simulations: state of the art

Giulio Malinverno, Javier Blasco Alberto, Jon Lecumberri SanMartin

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Abstract. This document is meant to review and discuss the possible applications of Quantum computing in the area of computational fluid dynamics (CFD). A review of the current state-of-the-art of quantum computing applied to computational fluid dynamics has been carried out, highlining how the technology is promising but still in an early stage of development. Furthermore, within the approaches developed to solve CFD problems with the use of quantum algorithms and / or quantum computers, this article discusses a quantum algorithm approach, based on the Lattice Boltzmann Method and developed to the study of 2D flow around a cylinder, a model which can be related to several industrial problems and, in the future, modified to simulate the refrigeration cycle used in aeronautical environmental control systems (ECS). This preliminary code helped to highlight the inherent difficulties to implement a quantum algorithm but helped also to demonstrate the applicability of quantum computing.

Quantum Computing, CFD, Scientific Machine Learning, Lattice Boltzmann Method, Hydrodynamic Schrödinger Equation, Navier Stokes Equations

Published online 11/1/2023, 5 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Giulio Malinverno, Javier Blasco Alberto, Jon Lecumberri SanMartin, Quantum computing CFD simulations: state of the art, Materials Research Proceedings, Vol. 37, pp 174-178, 2023

DOI: https://doi.org/10.21741/9781644902813-38

The article was published as article 38 of the book Aeronautics and Astronautics

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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