Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
2024-03-01
Polarization encoded Quantum Key Distribution (QKD) is attracting great attention as it generates unlimitedly and unconditionally secure keys for different use cases. Despite its theoretical excellence based on quantum physics, commercial optical devices supporting QKD systems lack precision, which highly limits the final Key Exchange Rate (KER) of the system. Beside optical component imperfections, eavesdropping and unpredicted environmental events occurred in the quantum channel increase quantum Bit Error Rate (qBER), which leads to further KER reduction. In this paper, we propose DARIUS, a digital twin for polarization encoded QKD systems that bridges the gap between perfect theoretical QKD systems and real implementations to: i) address optical components' non-ideal behavior; ii) discern eavesdropping from high qBER; and iii) dynamically compensate for environmental events. Taking advantage of DARIUS, even moderate eavesdropping rates can be distinguished from qBER. Moreover, significant improvement in proactive environmental event compensation is achieved, as DARIUS can derive proper optical component tuning.
This work was partially supported by the European Commission through the HORIZON ALLEGRO project (G.A. 101092766), from the AEI IBON (PID2020-114135RB-I00) project and from the ICREA Institution.
Peer Reviewed
Postprint (published version)
Article
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica; Optical communications; Digital twins (Computer simulation); Machine learning; Polarization-encoded quantum key distribution; Quantum digital twin; Comunicacions òptiques; Rèpliques digitals (Simulació per ordinador); Aprenentatge automàtic
Institute of Electrical and Electronics Engineers (IEEE)
https://ieeexplore.ieee.org/document/10269711
info:eu-repo/grantAgreement/EC/HE/101092766/EU/Agile uLtra Low EnerGy secuRe netwOrks/ALLEGRO
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114135RB-I00/ES/AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G/
http://creativecommons.org/licenses/by/4.0/
Open Access
Attribution 4.0 International
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