AeRot quantum kernel outperforms tuned classical kernels on Lorenz-63 chaotic forecasting, achieving +0.137 mean R² advantage at 0.25 time units by leveraging temporal structure to resolve fold-branch ambiguity in chaotic attractors.

AeRot quantum kernel outperforms tuned classical kernels on Lorenz-63 chaotic forecasting, achieving +0.137 mean R² advantage at 0.25 time units by leveraging temporal structure to resolve fold-branch ambiguity in chaotic attractors.