Abstract
Reconciliation is one of the most important technology in continuous variables quantum key distribution. In this paper, we implement multidimensional reconciliation, which can realize reconciliation without quantizing continuous variables, that greatly reduces the computational complexity of continuous variable reconciliation. Applying a linear group code of LDPC, the encoding and decoding was simple and has the performance of near to shannon’s limit. LDPC is used in multidimensional reconciliation algorithm for correction. The results show that the key error rate approaches zero when noise-signal ratio comes to 5.2dB..
This work was supported by the National Natural Science Foundation of China under Grant No. 61177072.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mehrdads, Sharbaf: Quantum cryptography: a new generation of the information technology security system. The Information Technology: New Generations 27-29, 1644–1648 (2009)
Ma, R.: Quantum cryptography communication, pp. 120–135. Science Press, Beijing (2006)
Grosshans, F., Grangier, P.: Continuous Variable-Quantum Cryptography Coherent States. Put Physical Review 88(5), 579021–579024 (2002)
Van Assche, G., Cardinal, J., Cerf, N.J.: Reconciliation of the quantum Gaussian distributed a key specific. IEEE 50(2), 394–400 (2002)
Leverrier, A., Alleaume, R., Boutros, J.: Multidimensional reconciliation for a continuous-variable quantum key distribution. In: IEEE International Symposium on Information Theory, July 6-11, pp. 1020–1024 (2008)
Liveris, A.D., Xiong, Z., Georghiades, C.N.: Compression of binary sources with side information at the decoder using LDPC codes. IEEE Communication Letters 6, 440–442 (2002)
Adans, J.: Vector fields on spheres. Annals of Math. 75, 603–632 (1962)
Li, Q.-Y., Wang, N.-C., Yu, D.-Y.: Numerical analysis, pp. 165–178. Tsinghua University Press, Beijing (2001)
Lu, W.-M.: Research on LDPC Codes and Applications.: [Ph.D. Thesis]. Wuhan: Huazhong University of science and technology (2006)
Yuan, D.-F., Zhang, H.-G., et al.: LDPC code theory and application, pp. 72–80. People’s posts and telecommunications press, Beijing (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, CH. (2012). Multidimensional LDPC for the Reconciliation of the Continuous Variables Quantum Key Distribution System. In: Lei, J., Wang, F.L., Li, M., Luo, Y. (eds) Network Computing and Information Security. NCIS 2012. Communications in Computer and Information Science, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35211-9_92
Download citation
DOI: https://doi.org/10.1007/978-3-642-35211-9_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35210-2
Online ISBN: 978-3-642-35211-9
eBook Packages: Computer ScienceComputer Science (R0)