Fair-EAS

This repository provides the open-source implementation related to the research paper " Fair-EAS: Entanglement Allocation and Selection for Process-Oriented Fairness in Quantum Communication Networks".

How to run

1. python .\comparsion_random\comparsion_random.py
2. python .\comparsion_random_gen\comparsion_random_gen.py
3. ppython .\comparsion_random_swap\comparsion_random_swap.py
   NOTE:They whill create files to log the results.

Details

• comparsion_random\comparsion_random.py

  Simulate the number of requests.

• comparsion_random_gen\comparsion_random_gen.py

  Simulate the probability of entanglement generation.

• comparsion_random_swap\comparsion_random_swap.py

  Simulate the probability of entanglement swapping.

Requirements

• python3
• networkx
• numpy
• pylab
• matplotlib

Note and Citation

• Please refer to the publication "Wang Z, Li J, Xue K, et al. Fair-EAS: Entanglement Allocation and Selection for Process-Oriented Fairness in Quantum Communication Networks[J]. IEEE Transactions on Communications, 2024." Link
• Please add the following citation in your work if you use our open-source code.

@article{wang2024fair,
  title={Fair-EAS: Entanglement Allocation and Selection for Process-Oriented Fairness in Quantum Communication Networks},
  author={Wang, Zhaoying and Li, Jian and Xue, Kaiping and Li, Zhonghui and Li, Ruidong and Yu, Nenghai and Sun, Qibin and Lu, Jun},
  journal={IEEE Transactions on Communications},
  year={2024},
  publisher={IEEE}
}