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Three-dimensional quantum cellular neural network and its application to image processing

A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells. The three-dimensional quantum cellular neural network consists of two layers of quantum cellular automata array and possesses the A cloning template, B cloning template, and threshold. The image processing functions such as hole filling and corner detecting were performed by using the polarization of quantum cellular automata as pixel value and selecting different cloning templates and thresholds. The SIMULINK model is employed to simulate image processing functions and the simulation results demonstrate the effectiveness of the proposed quantum cellular neural networks.