Efficient Routing Design Based on Entanglement Flow Loss Effect in Quantum Networks

This repository provides the open-source implementation related to the research paper "Efficient Routing Design Based on Entanglement Flow Loss Effect in Quantum Networks".

How to run

1. python .\mutirequest-pairs\comparsion.py
2. python .\mutirequest-q\comparsion.py
3. python .\singlerequest-q\comparsion_q.py
4. python .\singlerequest-sacle\comparsion_sacle.py
   NOTE:They whill create files to log the results.

Details

• mutirequest-pairs\comparsion.py

  Simulate the number of requests for mutireques.

• mutirequest-q\comparsion.py

  Simulate the probability of entanglement swapping for mutireques.

• singlerequest-q\comparsion_q.py

  Simulate the probability of entanglement swapping for singlerequest.

• singlerequest-sacle\comparsion_sacle.py

  Simulate the probability of quantum network scale for singlerequest.

Requirements

• python3
• networkx

Note and Citation

• Please refer to the publication "Wang Z, Li J, Li Z, et al. Efficient routing design based on entanglement flow loss effect in quantum networks[C]//2024 International Conference on Quantum Communications, Networking, and Computing (QCNC). IEEE, 2024: 9-16." Link
• Please add the following citation in your work if you use our open-source code.

@inproceedings{wang2024efficient,
  title={Efficient routing design based on entanglement flow loss effect in quantum networks},
  author={Wang, Zhaoying and Li, Jian and Li, Zhonghui and Chen, Lutong and Yu, Nenghai and Sun, Qibin and Lu, Jun},
  booktitle={2024 International Conference on Quantum Communications, Networking, and Computing (QCNC)},
  pages={9--16},
  year={2024},
  organization={IEEE}
}