arXiv · 2608.29894
Multiple Nonlinear Waves by (Quantum) Neural Networks: Checking the AI supremacy
Abstract
To test the potential of so-called quantum physics-informed neural network (QPINN) technology for solving evolutionary partial differential equations, we consider the problem of multiple wave propagation in a weakly nonlinear medium described by the Korteweg-de Vries equation with periodic boundary conditions. Although this problem is solvable analytically, high-genus solutions could represent a rather challenging testbed for numerical methods. Therefore, our idea is to test whether a QPINN is sufficiently mature for application in this context by providing a set of indicators of merit and performing several numerical experiments.
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Luigi Martina, Riccardo Caricato, Riccardo Della Torre. 2026-08-30. Multiple Nonlinear Waves by (Quantum) Neural Networks: Checking the AI supremacy. https://arxiv.org/abs/2608.29894
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