Feedback Quantum Neuron and Its Application

Author

Li, Fei ; Zhao, Shengmei ; Zheng, Baoyu

Author_Institution

Nanjing Univ. of Posts & Telecommun.

Volume

2

fYear

2005

Firstpage

867

Lastpage

871

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Brain, 2005. ICNN&B '05. International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9422-4

Type

conf

DOI

10.1109/ICNNB.2005.1614759

Filename

1614759