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Giacomo De Palma

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Preprint Sep 2026

Lazy training of quantum physics informed neural networks

We study the gradient-flow training dynamics of quantum physics-informed neural networks (QPINNs) for the solution of second-order elliptic partial differential equations with Dirichlet boundary conditions. We consider parameterized quantum circuits as function approximators and analyze their overparameterized regime t...

A. M. Hernandez, Giacomo De Palma · 0 citations

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