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This research proposes a hybrid quantum-classical variational algorithm to solve nonlinear finite element problems for hyperelastic materials, specifically targeting near-term device feasibility. By approximating strain energy density polynomials within parameterized circuits, the study demonstrates a viable pathway for leveraging quantum advantage in complex computational physics simulations. The work represents a significant step toward practical applications of quantum computing in engineering and material science domains.
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A Variational Quantum Algorithm for Nonlinear Finite Element Analysis of Hyperelastic Materials

arXiv2 min read

arXiv:2605.29181v2 Announce Type: replace Abstract: This manuscript explores a variational quantum formulation for nonlinear elasticity problems arising from hyperelastic material models. The approach leverages the potential energy structure of hyperelasticity and employs a hybrid quantum classical framework in which the energy functional is evaluated using parameterized quantum circuits and optimized through classical routines. To enable a hybrid (classical quantum implementation), polynomial approximations of the nonlinear terms in strain energy density are introduced, yielding a representation compatible with variational quantum algorithms. The methodology is demonstrated on a special case of the NeoHookean material model in a one dimensional setting using finite element discretizations with first and second order shape functions and nonhomogeneous boundary conditions. Numerical experiments investigate the influence of the polynomial approximation order on the accuracy and efficiency of the proposed approach, illustrating its feasibility for near-term quantum devices.

Abstract:This manuscript explores a variational quantum formulation for nonlinear elasticity problems arising from hyperelastic material models. The approach leverages the potential energy structure of hyperelasticity and employs a hybrid quantum classical framework in which the energy functional is evaluated using parameterized quantum circuits and optimized through classical routines. To enable a hybrid (classical quantum implementation), polynomial approximations of the nonlinear terms in strain energy density are introduced, yielding a representation compatible with variational quantum algorithms. The methodology is demonstrated on a special case of the NeoHookean material model in a one dimensional setting using finite element discretizations with first and second order shape functions and nonhomogeneous boundary conditions. Numerical experiments investigate the influence of the polynomial approximation order on the accuracy and efficiency of the proposed approach, illustrating its feasibility for near-term quantum devices.

Quantum Physics (quant-ph); Numerical Analysis (math.NA); Computational Physics (physics.comp-ph)

arXiv:2605.29181 [quant-ph]

(or arXiv:2605.29181v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2605.29181 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.13140/RG.2.2.21331.75040 Focus to learn more DOI(s) linking to related resources

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Full text under the publisher's open licence · 242 words

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