Directional diffusion splitting method for advection-diffusion-reaction model

In the context of investigating the potential application of quantum computers to the finite element method, we propose a specific approach for solving the two-dimensional parabolic advection-diffusion-reaction boundary value problem by transforming it into a set of corresponding one-dimensional problems. This method employs specialized operator splitting, resulting in a recurrent fractional-step scheme for time integration. While this scheme offers significant parallelization potential, the main goal is to map the original large elliptic 2D problem arising at each time step into a set of smaller 1D problems of the same kind. This transformation, combined with recently proposed quantum-assisted stabilization schemes, allows us to pass smaller linear systems to a quantum linear solver, making them suitable for near-term quantum computers. We combine the proposed algorithm with the finite element method to solve the resulting one-dimensional problems, although these problems can also be addressed using other discretization techniques, such as the finite volume or finite difference methods.

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Publication Details

Journal
Journal of Applied and Numerical Analysis
Published
2025-09-16
DOI
https://doi.org/10.30970/ana.2025.3.35
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
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article

Directional diffusion splitting method for advection-diffusion-reaction model

R. H. Drebotiy, H. А. Shynkarenko
Journal of Applied and Numerical Analysis
Differential Equations and Numerical Methods
article

Directional diffusion splitting method for advection-diffusion-reaction model

R. H. Drebotiy, H. А. Shynkarenko
article en

Abstract

In the context of investigating the potential application of quantum computers to the finite element method, we propose a specific approach for solving the two-dimensional parabolic advection-diffusion-reaction boundary value problem by transforming it into a set of corresponding one-dimensional problems. This method employs specialized operator splitting, resulting in a recurrent fractional-step scheme for time integration. While this scheme offers significant parallelization potential, the main goal is to map the original large elliptic 2D problem arising at each time step into a set of smaller 1D problems of the same kind. This transformation, combined with recently proposed quantum-assisted stabilization schemes, allows us to pass smaller linear systems to a quantum linear solver, making them suitable for near-term quantum computers. We combine the proposed algorithm with the finite element method to solve the resulting one-dimensional problems, although these problems can also be addressed using other discretization techniques, such as the finite volume or finite difference methods.

Journal of Applied and Numerical AnalysisVol. 3
Openalex Percentile: Top 64%
Differential Equations and Numerical Methods
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