Samuel Yen-Chi Chen

Architecturally diverse quantum-classical models fused via Combinatorial Fusion Analysis consistently outperform individual models and literature baselines, unlocking significant accuracy gains on classification tasks.

Results indicate that recursive quantum feature transformations can improve stability and out-of-sample performance for compact hybrid quantum--classical temporal models.