@InProceedings{7760298,
  author = {A. Mraz and S. Imre and L. Gyongyosi},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Performance evaluation of scalar reconciliation for Continuous-Variable Quantum Key Distribution},
  year = {2016},
  pages = {498-502},
  abstract = {The existing robust technique, Scalar Reconciliation combined with a Continuous-Variable Quantum Key Distribution is investigated in this paper with the help of simulations in terms of the symbol error rate. The solution contains efficient logical layer-based reconciliation for Continuous-Variable Quantum Key Distribution techniques, which extract the binary information from correlated Gaussian variables. The algorithm has been extended by different assumptions related to the raw data generation method and the segmentation of the key symbols to be transmitted. The performance of the extended algorithm has been investigated in terms of the symbol error ratio.},
  keywords = {error statistics;performance evaluation;quantum cryptography;performance evaluation;scalar reconciliation;symbol error rate;layer-based reconciliation;continuous-variable quantum key distribution techniques;correlated Gaussian variables;data generation method;symbol error ratio;Amplitude shift keying;Quantum mechanics;Distributed databases;Gold;Europe;Continuous-Variable Quantum Key Distribution;reconciliation;Gaussian variables;quantum cryptography;simulation;symbol error rate},
  doi = {10.1109/EUSIPCO.2016.7760298},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252345.pdf},
}

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