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quant-ph2021
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus
Chen Zhao, Xiao-Shan Gao
In this paper, we propose a general scheme to analyze the gradient vanishing phenomenon, also known as the barren plateau phenomenon, in training quantum neural networks with the Z…
quant-ph2019
QDNN: DNN with Quantum Neural Network Layers
Chen Zhao, Xiao-Shan Gao
In this paper, we introduce a quantum extension of classical DNN, QDNN. The QDNN consisting of quantum structured layers can uniformly approximate any continuous function and has m…