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Preprint Sep 2026

IQFEM: A quantum finite element method for heterogeneous problems with immersed boundaries

Quantum computing offers the potential to solve computational mechanics problems with a more favourable complexity scaling than classically possible. To realise this potential, a quantum-compatible formulation of the finite element method is essential. We present such a formulation for Poisson problems with spatially v...

Shehara Perera, Yi-Ren Wang, F. Cirak · 0 citations
#machine learning Open access Apr 2026

Neural parametric representations for thin-shell shape optimisation

Shape optimisation of thin-shell structures requires a flexible, differentiable geometric representation suitable for gradient-based optimisation. We propose a neural parametric geometry representation (NRep) for shells based on a neural network with periodic activation functions. The NRep is defined using a multi-laye...

Xiao-Shan Xiao, F. Cirak · 0 citations

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