A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods

Finite-element methods are industry standards for finding numerical solutions to partial differential equations. However, the application scale remains pivotal to the practical use of these methods, even for modern-day supercomputers. Large, multi-scale applications, for example, can be limited by t...

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Main Authors: Corey Jason Trahan, Mark Loveland, Noah Davis, Elizabeth Ellison
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/4/580
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author Corey Jason Trahan
Mark Loveland
Noah Davis
Elizabeth Ellison
author_facet Corey Jason Trahan
Mark Loveland
Noah Davis
Elizabeth Ellison
author_sort Corey Jason Trahan
collection DOAJ
description Finite-element methods are industry standards for finding numerical solutions to partial differential equations. However, the application scale remains pivotal to the practical use of these methods, even for modern-day supercomputers. Large, multi-scale applications, for example, can be limited by their requirement of prohibitively large linear system solutions. It is therefore worthwhile to investigate whether near-term quantum algorithms have the potential for offering any kind of advantage over classical linear solvers. In this study, we investigate the recently proposed variational quantum linear solver (VQLS) for discrete solutions to partial differential equations. This method was found to scale polylogarithmically with the linear system size, and the method can be implemented using shallow quantum circuits on noisy intermediate-scale quantum (NISQ) computers. Herein, we utilize the hybrid VQLS to solve both the steady Poisson equation and the time-dependent heat and wave equations.
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spelling doaj.art-bf71ad227be74b3ea819846fee8a675e2023-11-17T19:08:04ZengMDPI AGEntropy1099-43002023-03-0125458010.3390/e25040580A Variational Quantum Linear Solver Application to Discrete Finite-Element MethodsCorey Jason Trahan0Mark Loveland1Noah Davis2Elizabeth Ellison3Information and Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS 39180, USAInformation and Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS 39180, USAApplied Research Laboratories, The University of Texas at Austin, Austin, TX 78713, USAInformation and Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS 39180, USAFinite-element methods are industry standards for finding numerical solutions to partial differential equations. However, the application scale remains pivotal to the practical use of these methods, even for modern-day supercomputers. Large, multi-scale applications, for example, can be limited by their requirement of prohibitively large linear system solutions. It is therefore worthwhile to investigate whether near-term quantum algorithms have the potential for offering any kind of advantage over classical linear solvers. In this study, we investigate the recently proposed variational quantum linear solver (VQLS) for discrete solutions to partial differential equations. This method was found to scale polylogarithmically with the linear system size, and the method can be implemented using shallow quantum circuits on noisy intermediate-scale quantum (NISQ) computers. Herein, we utilize the hybrid VQLS to solve both the steady Poisson equation and the time-dependent heat and wave equations.https://www.mdpi.com/1099-4300/25/4/580quantum computingquantum variational algorithmfinite-element methodsPoisson equationheat equationquantum algorithms
spellingShingle Corey Jason Trahan
Mark Loveland
Noah Davis
Elizabeth Ellison
A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
Entropy
quantum computing
quantum variational algorithm
finite-element methods
Poisson equation
heat equation
quantum algorithms
title A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
title_full A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
title_fullStr A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
title_full_unstemmed A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
title_short A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
title_sort variational quantum linear solver application to discrete finite element methods
topic quantum computing
quantum variational algorithm
finite-element methods
Poisson equation
heat equation
quantum algorithms
url https://www.mdpi.com/1099-4300/25/4/580
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