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Quantum Neural Network for CDMA Multi-user Detection

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3498))

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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.

The work is supported by the National Natural Science Foundation of China (No. 60272066).

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Author information

Authors and Affiliations

  1. Institute of Signal & Information Processing, Nanjing, University of Posts and Telecommunications, Nanjing, 210003, China

    Fei Li, Shengmei Zhao & Baoyu Zheng

Authors
  1. Fei Li
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  2. Shengmei Zhao
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  3. Baoyu Zheng
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, F., Zhao, S., Zheng, B. (2005). Quantum Neural Network for CDMA Multi-user Detection. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_54

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  • DOI: https://doi.org/10.1007/11427469_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25914-5

  • Online ISBN: 978-3-540-32069-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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