Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Blind Reconiliation
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
Information reconciliation is a crucial procedure in the classical post-processing of quantum key distribution (QKD). Poor reconciliation efficiency, revealing more information than strictly needed, may compromise the maximum attainable distance, while poor performance of the algorithm limits the practical throughput in a QKD device. Historically, reconciliation has been mainly done using close to minimal information disclosure but heavily interactive procedures, like Cascade, or using less efficient but also less interactive -just one message is exchanged- procedures, like the ones based in low-density parity-check (LDPC) codes. The price to pay in the LDPC case is that good efficiency is only attained for very long codes and in a very narrow range centered around the quantum bit error rate (QBER) that the code was designed to reconcile, thus forcing to have several codes if a broad range of QBER needs to be catered for. Real world implementations of these methods are thus very demanding, either on computational or communication resources or both, to the extent that the last generation of GHz clocked QKD systems are finding a bottleneck in the classical part. In order to produce compact, high performance and reliable QKD systems it would be highly desirable to remove these problems. Here we analyse the use of short-length LDPC codes in the information reconciliation context using a low interactivity, blind, protocol that avoids an a priori error rate estimation. We demonstrate that 2x10^3 bits length LDPC codes are suitable for blind reconciliation. Such codes are of high interest in practice, since they can be used for hardware implementations with very high throughput.
International
Si
JCR
Si
Title
Quantum Information & Computation
ISBN
1533-7146
Impact factor JCR
1,659
Impact info
Datos JCR del año 2011
Volume
12
Journal number
9&10
From page
791
To page
812
Month
SIN MES
Ranking
Participants
  • Autor: Jesus Martinez Mateo (UPM)
  • Autor: David Elkouss Coronas (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)
  • Departamento: Matemática Aplicada (Facultad de Informática)
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)