AI RESEARCH
Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification
arXiv CS.LG
•
ArXi:2603.18078v1 Announce Type: new We present the \textbf{Variational Phasor Circuit (VPC)}, a deterministic classical learning architecture operating on the continuous $S^1$ unit circle manifold. Inspired by variational quantum circuits, VPC replaces dense real-valued weight matrices with trainable phase shifts, local unitary mixing, and structured interference in the ambient complex space. This phase-native design provides a unified method for both binary and multi-class classification of spatially distributed signals.