International Joint Conference on Neural Networks (IJCNN)

Feedback Quantum Neuron for Multiuser Detection

Fei Li, Chengjie Xie, Dongsheng Zheng, Baoyu Zheng

Published Jan 1, 2006• 3 citations

Abstract

Quantum neural network (QNN) is a promising area in the field of quantum computing and quantum information processing. A model of feedback quantum neuron (FQN) is proposed and its property is analyzed. A novel multi-user detector based on FQN and quantum register is proposed. An analysis is given to the theoretical basis and practical performance of the proposed detector. The simulation results show that the proposed detector has more powerful properties both in bit error rate and near-far resistance than Hopfield neural network based detector. A multi-user detector based on improved FQN is also proposed and the simulation results have shown that the improved FQN multi-user detector is obviously superior to the FQN multi-user detector. Its performance is closer to optimal, compared with the other multi-user detector.

DOI: 10.1109/ijcnn.2006.1716501

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