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Structured Quantum Kernels for Chaotic Forecasting

Wang, Zhihui et al.
arXiv (OAI Expanded) · Papers
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quantum-physics
Quantum kernels promise exponentially large feature spaces, but expressive circuits render their Gram matrices uninformative, bandwidth tuning collapses them toward classical RBF, and the practical consensus is that quantum kernels add nothing on classical data. We answer another productive question
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