Topological optimization of hybrid quantum key distribution networks

Area of Science:

• Quantum Information Science
• Network Engineering
• Cybersecurity

Background:

• Quantum key distribution (QKD) networks are becoming more complex, necessitating efficient topology design for large-scale deployments.
• Challenges in QKD network design include quantum channel exclusivity, key generation limits, protocol diversity, and untrusted relay selection.

Purpose of the Study:

• To investigate hybrid QKD networks from a topological perspective, analyzing differences across various QKD protocols.
• To propose an analytical model for optimal topology calculation in hybrid QKD networks.
• To optimize the deployment of QKD devices and select untrusted relays within a cost constraint for superior secure communication.

Main Methods:

• Analysis of topological characteristics of different QKD protocols.
• Development of a novel analytical model for hybrid QKD network topology optimization.
• Simulation-based evaluation of the proposed model and strategies.

Main Results:

• Hybrid QKD networking offers significant performance advantages.
• Untrusted-relay selection is crucial for enhancing QKD network performance.
• The proposed analytical model effectively optimizes hybrid QKD network topology and relay selection.

Conclusions:

• Hybrid QKD network topology design is critical for scalability and performance.
• The developed analytical model provides a universal and effective approach for optimizing hybrid QKD networks.
• The findings validate the benefits of hybrid networking and strategic untrusted-relay selection in QKD.