CNN Convolutional layer optimisation based on quantum evolutionary algorithm
Published in Taylor & Francis Group • Jul 1, 2021
NobleIDNI5P53W12R16S89
Authors:
Tzyy-Chyang Lu
Abstract
In this paper, a quantum convolutional neural network (CNN) architecture is proposed to find the optimal number of convolutional layers. Since quantum bits use probability to represent binary information, the quantum CNN does not represent the actual network, but the probability of existence of each...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!