SFTRAP: Satisfying Fidelity Threshold Routing and Adaptive Purification for Throughput Maximum in Quantum Network

The core function of quantum networks is to establish high-fidelity quantum entanglement for long-distance communication. However, the main challenge is to efficiently allocate resources under limited conditions, maximize throughput, satisfy end-to-end (E2E) fidelity requirements, and prevent quantum decoherence caused by inefficient routing algorithms. Current research focuses on optimizing either throughput or fidelity, with a lack of approaches that optimize both simultaneously; furthermore, existing algorithms suffer from high computational complexity. To tackle these challenges, this study proposes a Satisfying Fidelity Threshold Routing and Adaptive Purification Strategy (SFTRAP). SFTRAP maximizes…

• NN
  National Natural Science Foundation of China

  Awards: 92267206, U22A2004, 62472078, 62032013
• NK
  National Key Research and Development Program of China

  Award: 2022YFB2901303