Empirical characterization of learning geometry in hybrid quantum forecasting models; compares with a classical baseline on kernel dynamics and training loss
Read the original at arxiv.org→arXiv:2608.19497v1 Announce Type: new Abstract: We characterize the learning dynamics of a compact hybrid quantum forecasting model through comparison with a structurally aligned classical baseline. Using stationary...
Original headline: "Empirical Characterization of Learning Geometry in Hybrid Quantum Forecasting Models"
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- Aug 21, 04:00 UTC arXiv cs.LG lead source Empirical Characterization of Learning Geometry in Hybrid Quantum Forecasting Models