Quantum neural network for CDMA multi-user detection

Authors:
Fei Li;Shengmei Zhao;Baoyu Zheng
Affiliations:
Institute of Signal & Information Processing, Nanjing, University of Posts and Telecommunications, Nanjing, China;Institute of Signal & Information Processing, Nanjing, University of Posts and Telecommunications, Nanjing, China;Institute of Signal & Information Processing, Nanjing, University of Posts and Telecommunications, Nanjing, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

Citing 2
Cited 1

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Abstract

Quantum Neural Network (QNN) is a new field which integrates ANN with quantum computing. Taking advantages of the properties of quantum mechanics such as quantum parallelism and entanglement, QNN may give us unprecedented possibilities in creating new system for information processing. The fundamental of QNN is introduced and a model for quantum neuron is described. A novel multi-user detector based on quantum neuron and quantum register is proposed. 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.