Quantum Computing for Aerospace Structures & Materials

Quantum Computing, proposed by Richard Feynman in 1982, is conceived for the purpose of efficiently simulating quantum systems. While there are already substantial work on the hardware realization of such computers and general quantum algorithms, we look into the engineering adoption and applications of quantum algorithms, particularly in the simulations and optimizations of aerospace structures and materials. Our work includes: 

• Review of Quantum Computing for computational solid and structural mechanics (paper)

• Quantum Annealing for truss sizing optimization (thesis, paper)

• Quantum formulation of the stacking sequence retrieval problem in composite laminate optimization, and solve it by quantum backends such as QAOA and quantum-inspired solver based on DMRG (paper, manuscript)

• Quantum vs. Classical kernels in SVM (Support Vector Machine)-based surrogates, applied to the prediction of open-hole composite strength (manuscript)

The work on stacking sequence retrieval has won the Golden Application category of the Airbus-BMW Quantum Computing Challenge in 2024. See the news from TU Delft here. For more details, please visit our collaborative lab: QAIMS lab of TU Delft Faculty of Aerospace Engineering.