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.
•24t5t1:Fully Connected Block Mixing(5 blocks of 5–qubit–VQC)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.