Three-dimensional quantum cellular neural networks based on quantum cellular automata

A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells.The new structure of the quantum cellular neural network contains two layers of quantum cellular automata array and introduces concepts of A cloning templates,B cloning templates, and thresholds.The proposed quantum cellular neural network can perform the functions of the logic AND, OR,NOT operation,and edge extraction operation by using the polarization of quantum-dot cell as pixel value and selecting different cloning templates and thresholds.The MATLAB is employed to simulate the four operations and the results demonstrate the validity of the proposed quantum cellular neural network. Moreover,compared with the traditional cellular neural networks,the quantum cellular neural network possesses the advantages of the simplified interconnection,the extremely high packing densities and the extremely low power consumption.