aiqbench analysis
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.
A Variational Quantum Algorithm for Nonlinear Finite Element Analysis of Hyperelastic Materials
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
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 242 words
Related coverage

Exploding variance of means of exponentials: least-squares to the rescue – Machine Learning Research Blog
francisbach.com · Sep 27, 2026

Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
Quantum Journal · Oct 8, 2026

News
Quantum Computing Report · Jul 25, 2026
A Quantum Path to Partial Differential Equations
arXiv · Oct 6, 2026