Efficient Reconciliation of Correlated Continuous Random Variables using LDPC Codes
arXiv:cs/0509041
Abstract
This paper investigates an efficient and practical information reconciliation method in the case where two parties have access to correlated continuous random variables. We show that reconciliation is a special case of channel coding and that existing coded modulation techniques can be adapted for reconciliation. We describe an explicit reconciliation method based on LDPC codes in the case of correlated Gaussian variables. We believe that the proposed method can improve the efficiency of quantum key distribution protocols based on continuous-spectrum quantum states.
9 pages, 9 figures
References in corpus (6)
- Quantum Cryptography
- Continuous variable quantum cryptography using coherent states
- Quantum key distribution using gaussian-modulated coherent states
- Quantum Distribution of Gaussian Keys with Squeezed States
- Reconciliation of a Quantum-Distributed Gaussian Key
- Side-Information Coding with Turbo Codes and its Application to Quantum Key Distribution