Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Integration of a cost-effective QKD implementation in WDM optical networks

Paolo Martelli, Marco Brunero, Paola Parolari, Fabio Rossi, Alberto Tosi, M. Martinelli

Published Jan 1, 2019• 0 citations
OpenAlex

Related papers

QKD in dense WDM passive optical networks

Vicente Martín Ayuso

•Jan 1, 2013•1 citation

Integration of QKD in WDM networks

Paolo Martelli, Alberto Gatto, Marco Brunero +4 more

The theme of the integration of Quantum Key Distribution (QKD) in existing WDM optical networks will be discussed. Some evaluations about a reduced-cost implementation of BB84 protocol for QKD will be presented, where a QKD channel in O band is added to classical C-band WDM channels in the same fiber.

International Conference on Optical Network Design and Modeling (ONDM)•Jun 28, 2021•3 citations

QKD in Standard Optical Telecommunications Networks

Daniel Lancho Lancho, José-Fernán Martí­nez-Ortega, David Elkouss +2 more

arXiv:1006.1858•Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering•Jan 1, 2010•52 citations

Low-cost lightweight-client twin-field quantum key distribution network with wavelength division multiplexing

Wenxiu Qu, Yong Zhang, Yueming Lu +1 more

In recent years, quantum communication technology has gradually entered the practical stage. Multiple quantum key distribution (QKD) networks have been built and tested all over the world. However, quantum communication networking mode always evolves from a point-to-point network to a many-to-many network. The major challenges in quantum communication are secret key rate, distance, cost, and size of QKD devices. We proposed a low-cost, lightweight-client, twin-field QKD network with wavelength division multiplexing (WDM). The proposed implementation adopts polarization multiplexing, time-division multiplexing, and WDM technology to solve all these major challenges and implement a many-to-many dynamic communications network. Furthermore, our scheme can effectively reduce the cost to less than half of that of current QKD networks and has reference significance for large-scale deployment of QKD networks.

Optical Engineering•Jan 7, 2022•2 citations

Maximising Network Capacity with Service Provisioning in QKD-Integrated Optical Networks

Yuhang Liu, Xiaosong Yu, Yongli Zhao

2012 International Conference on Computing, Networking and Communications (ICNC)•Feb 16, 2026•0 citations

Investigation of Nonlinear Effects on a Quantum Key Distribution System in DWDM Scenarios

Benjámin Ott, Márton Czermann, Áron Szabó +2 more

Integrating quantum communication technologies, such as Quantum Key Distribution (QKD) into existing optical infrastructures is critical to improve their scalability, being a cornerstone of their practical implementations. Since installing optical fibers dedicated for QKD proves to be a costly solution, wavelength division multiplexing (WDM) appears to be a viable alternative. This paper investigates viable wavelength selections for the quantum channel in WDM systems. In this research, disturbances from nonlinear effects arising from conventional optical communications are introduced. Four-Wave Mixing (FWM) and Spontaneous Raman Scattering (SpRS) is modeled in various communication scenarios using OptiSystem and VPIphotonics modeling environments. Results from these simulations are evaluated, based on which guidelines are given for optical system design with QKD integration. Techniques for suppressing the noise components from the abovementioned nonlinear effects are proposed. In addition, the noise tolerance of a self-developed plug-and-play QKD architecture - implementing the BB84 protocol - was experimentally investigated to support the modeling.

International Conference on Software, Telecommunications and Computer Networks (SoftCOM)•Sep 18, 2025•0 citations
In recent years, quantum communication technology has gradually entered the practical stage. Multiple quantum key distribution (QKD) networks have been built and tested all over the world. However, quantum communication networking mode always evolves from a point-to-point network to a many-to-many network. The major challenges in quantum communication are secret key rate, distance, cost, and size of QKD devices. We proposed a low-cost, lightweight-client, twin-field QKD network with wavelength division multiplexing (WDM). The proposed implementation adopts polarization multiplexing, time-division multiplexing, and WDM technology to solve all these major challenges and implement a many-to-many dynamic communications network. Furthermore, our scheme can effectively reduce the cost to less than half of that of current QKD networks and has reference significance for large-scale deployment of QKD networks.
Integrating quantum communication technologies, such as Quantum Key Distribution (QKD) into existing optical infrastructures is critical to improve their scalability, being a cornerstone of their practical implementations. Since installing optical fibers dedicated for QKD proves to be a costly solution, wavelength division multiplexing (WDM) appears to be a viable alternative. This paper investigates viable wavelength selections for the quantum channel in WDM systems. In this research, disturbances from nonlinear effects arising from conventional optical communications are introduced. Four-Wave Mixing (FWM) and Spontaneous Raman Scattering (SpRS) is modeled in various communication scenarios using OptiSystem and VPIphotonics modeling environments. Results from these simulations are evaluated, based on which guidelines are given for optical system design with QKD integration. Techniques for suppressing the noise components from the abovementioned nonlinear effects are proposed. In addition, the noise tolerance of a self-developed plug-and-play QKD architecture - implementing the BB84 protocol - was experimentally investigated to support the modeling.