Hybrid quantum tensor networks for aeroelastic applications

Abstract

We investigated the prospect of using hybrid quantum tensor network based algorithms for aeroelastic problems. Quantum tensor networks for Machine Learning can be realized by Variational Quantum Circuits using a tensor network inspired internal gate structure. We found that hybrid quantum tensor network based algorithms can be successfully applied to aeroelastic problems. Nevertheless, the appropriate choice of hyperparameters is still a challenge.