Fig. 8
From: Deep quanvolutional neural networks with enhanced trainability and gradient propagation
Two quanvolutional layers—training results of all residual configurations with classical postprocessing and \(2\times 2\) Kernel. No residual setting refers to multi-layered QuNNs without any residual block.
