FC-VQC decomposes inputs into fixed-size local VQC blocks connected by deterministic mixing to achieve linear parameter scaling and competitive performance versus monolithic VQCs and DNNs on regression, classification, and PDE tasks.
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Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
FC-VQC decomposes inputs into fixed-size local VQC blocks connected by deterministic mixing to achieve linear parameter scaling and competitive performance versus monolithic VQCs and DNNs on regression, classification, and PDE tasks.