Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2013 Conference on Lasers and Electro-Optics - International Quantum Electronics Conference
  • (Optica Publishing Group, 2013),
  • paper IB_5_6

Timing Synchronization with Photon Pairs for Quantum Communications

Not Accessible

Your library or personal account may give you access

Abstract

In quantum communication experiments using entangled photon pairs far-distant measurement results are correlated on the sub-nanosecond level. For best performances the timing of the coincidence window and its width are critical. In contrast to lab experiments, where accurate timing could be adjusted easily by e.g. matched cable length, in distributed experiments a common clock more accurate than the coincidence time is requested by means of time stable synchronization channels or atom clocks synchronized by GPS. Synchronization of distant clocks is far from trivial. Efficient synchronization mechanisms are required to enable novel architectures like switched star shaped QKD-networks and facilitate quantum communication of a high number of potential users.

© 2013 IEEE

PDF Article
More Like This
Synchronizing a quantum local area network with White Rabbit

Muneer Alshowkan, Philip G. Evans, Brian P. Williams, Nageswara S. V. Rao, Claire E. Marvinney, Yun-Yi Pai, Benjamin J. Lawrie, Nicholas A. Peters, and Joseph M. Lukens
FM1C.4 CLEO: QELS_Fundamental Science (CLEO:FS) 2022

Real field clock synchronization for quantum key distribution using correlated photon pairs

Yoann Pelet, Grégory Sauder, Olivier Alibart, Sébastien Tanzilli, and Anthony Martin
eb_p_2 European Quantum Electronics Conference (EQEC) 2023

Symmetrical Clock Synchronization with Time-Correlated Photon Pairs

Jianwei Lee, Lijiong Shen, Alessandro Cerè, James Troupe, Antia Lamas-Linares, and Christian Kurtsiefer
FM4C.8 CLEO: QELS_Fundamental Science (CLEO:FS) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.