In quantum networks supporting Quantum Key Distribution (QKD), establishing reliable end-to-end entanglement is essential for secure communication. This requires selecting optimal entanglement paths. However, resource shortages and potential congestion in the network limit QKD performance. In this work, we achieve efficient entanglement path selection by balancing link load and formally formulate the load optimization problem. We propose the Utilization-based Entanglement Routing Algorithm (UERA), which dynamically selects resource-abundant paths to alleviate congestion caused by high resource demand on bottleneck links, thereby enhancing network throughput. Extensive simulations show that UERA effectively reduces congestion and improves network throughput by 7.3% compared to conventional methods.

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Optimized Entanglement Routing for Enhanced Quantum Key Distribution Performance in Quantum Networks

  • Hongding Zhang,
  • Sheng Huo,
  • Ping Jiang,
  • Xiaoyan Chen

摘要

In quantum networks supporting Quantum Key Distribution (QKD), establishing reliable end-to-end entanglement is essential for secure communication. This requires selecting optimal entanglement paths. However, resource shortages and potential congestion in the network limit QKD performance. In this work, we achieve efficient entanglement path selection by balancing link load and formally formulate the load optimization problem. We propose the Utilization-based Entanglement Routing Algorithm (UERA), which dynamically selects resource-abundant paths to alleviate congestion caused by high resource demand on bottleneck links, thereby enhancing network throughput. Extensive simulations show that UERA effectively reduces congestion and improves network throughput by 7.3% compared to conventional methods.