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A deterministic classical learning architecture using unit circle (S1) manifolds and phase-shifting weights to classify phase-native signals, specifically targeted at Brain-Computer Interface (BCI) data.
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The project represents a novel intersection of variational quantum circuit (VQC) design principles applied to classical signal processing for BCIs. While mathematically sophisticated, it currently exists as an early-stage academic reference implementation with no community adoption or stars, making it easily reproducible from the associated paper.
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