Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Rate-Adaptive LDPC-based Key Reconciliation for High Performance Quantum Key Distribution
Year:2015
Research Areas
  • Information technology and adata processing
Information
Abstract
The postprocessing or secret-key distillation process in quantum key distribution (QKD) mainly involves two well-known procedures: information reconciliation and privacy amplification. Information or key reconciliation has been customarily studied in terms of efficiency. During this, some information needs to be disclosed for reconciling discrepancies in the exchanged keys. The leakage of information is lower bounded by a theoretical limit, and is usually parameterized by the reconciliation efficiency (or inefficiency), i.e. the ratio of additional information disclosed over the Shannon limit. Most techniques for reconciling errors in QKD try to optimize this parameter. For instance, the well-known Cascade (probably the most widely used procedure for reconciling errors in QKD) was recently shown to have an average efficiency of 1.05 at the cost of a high interactivity (number of exchanged messages). Modern coding techniques, such as rate-adaptive low-density parity-check (LDPC) codes were also shown to achieve similar efficiency values exchanging only one message, or even better values with few interactivity and shorter block-length codes.
International
Si
Congress
QCrypt 2015, 5th international conference on quantum cryptography
970
Place
Tokio, Japón
Reviewers
Si
ISBN/ISSN
CDP08UPM
Start Date
28/09/2015
End Date
02/10/2015
From page
1
To page
1
Rate-Adaptive LDPC-based Key Reconciliation for High Performance Quantum Key Distribution
Participants
  • Autor: Jesus Martinez Mateo (UPM)
  • Autor: Jose Luis Rosales Bejarano (UPM)
  • Autor: Vicente Martin Ayuso (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de investigación en Información y Computación Cuántica (GIICC)
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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