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Variational Quantum Algorithm for Solving Second-Order Linear Differential Equations Cover

Variational Quantum Algorithm for Solving Second-Order Linear Differential Equations

Open Access
|Jul 2025

Abstract

Variational quantum algorithms (VQAs) have attracted attention as quantum algorithms employing on noisy intermediate-scale quantum devices. VQAs for solving the Poisson equation were recently proposed, as this method transforms the linear equation with a symmetric positive definite matrix obtained by discretizing the Poisson equation into a minimization problem. In this study, we propose a VQA for second-order linear differential equations including the Poisson equation on the basis of the referenced study, where the coefficient matrix obtained through discretization is a non-symmetric matrix. Furthermore, in our VQAs, we succeeded in decomposing the coefficient matrices arising from the periodic and the Dirichlet boundary condition into linear combinations of measurement operators and unitary matrices.

DOI: https://doi.org/10.2478/qic-2025-0012 | Journal eISSN: 3106-0544 | Journal ISSN: 1533-7146
Language: English
Page range: 232 - 247
Submitted on: Feb 17, 2025
Accepted on: Apr 17, 2025
Published on: Jul 1, 2025
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2025 Ryo Sugaya, Tomohiro Sogabe, Tomoya Kemmochi, Shao-Liang Zhang, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.