Adaptive Mesh Refinement Quantum Algorithm for Maxwell's Equations

Algorithms that promise to leverage resources of quantum computers efficiently to accelerate the finite element method have emerged. However, the finite element method is usually incorporated into a high-level numerical scheme which allows the adaptive refinement of the mesh on which the solution is approximated. In this work, we propose to extend adaptive mesh refinement to the quantum formalism, and apply our method to the solution of Maxwell's equations. An important step in this procedure is the computation of error estimators, which guide the refinement. By using block-encoding, we propose a way to compute these estimators with quantum circuits. We present first numerical experiments on a 2D geometry.

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Published
2025-08-30
DOI
https://doi.org/10.1109/qce65121.2025.00043
Primary Topic
Computational Physics and Python Applications
Type
article
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article

Adaptive Mesh Refinement Quantum Algorithm for Maxwell's Equations

Élise Fressart, Nicole Spillane, Michel Nowak
Computational Physics and Python Applications
article

Adaptive Mesh Refinement Quantum Algorithm for Maxwell's Equations

Élise Fressart, Nicole Spillane, Michel Nowak
article en

Abstract

Algorithms that promise to leverage resources of quantum computers efficiently to accelerate the finite element method have emerged. However, the finite element method is usually incorporated into a high-level numerical scheme which allows the adaptive refinement of the mesh on which the solution is approximated. In this work, we propose to extend adaptive mesh refinement to the quantum formalism, and apply our method to the solution of Maxwell's equations. An important step in this procedure is the computation of error estimators, which guide the refinement. By using block-encoding, we propose a way to compute these estimators with quantum circuits. We present first numerical experiments on a 2D geometry.

Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Thales (Australia) (AU), Centre de Mathématiques Appliquées de l'École polytechnique (FR)
Openalex Percentile: Top 84%
Computational Physics and Python Applications
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