A quantum-classical KAN architecture with alpha-cut fuzzy constraints reports lower endpoint errors than classical PIKAN on four fuzzy PDE examples under ideal quantum simulation.
Physics -informed kolmogorov -arnold networks for granular fuzzy fractional optimal control problems,
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Quantum-Classical Physics-Informed Kolmogorov-Arnold Networks for Solving Fuzzy Differential Equations
A quantum-classical KAN architecture with alpha-cut fuzzy constraints reports lower endpoint errors than classical PIKAN on four fuzzy PDE examples under ideal quantum simulation.