Title :
Feedback Quantum Neuron and Its Application
Author :
Li, Fei ; Zhao, Shengmei ; Zheng, Baoyu
Author_Institution :
Nanjing Univ. of Posts & Telecommun.
Abstract :
A model of feedback quantum neuron (FQN) is proposed. A novel multi-user detector based on feedback quantum neuron 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 close to the optimum multi-user detector
Keywords :
error statistics; feedback; multiuser detection; neural nets; quantum computing; quantum theory; bit error rate; feedback quantum neuron; multi-user detector; near-far resistance; quantum register; Artificial neural networks; Detectors; Electronic mail; Hopfield neural networks; Information processing; Multiuser detection; Neurofeedback; Neurons; Quantum computing; Signal processing;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614759
