Figure 14From: ResQNets: a residual approach for mitigating barren plateaus in quantum neural networksTraining results of ResQNets with three QNs with 20 qubit layers. (a) Residual after every QN (b) Residual after two QNs and (c) Residual after the first QN. The parentheses denote the \(D_{L}\) per QN and the comma denotes the residual pointBack to article page