Quantum Information & Computation
Volume 25, Issue 5
RESEARCH ARTICLE Open access

Twin-Field Quantum Network Coding for Multi-Party Key Distribution

Yuchen Liu, Tao Shang, Keyu Xiong

Author affiliations
  • Yuchen Liu1
  • Tao Shang1
  • Keyu Xiong1
  1. School of Cyber Science and Technology, Beihang University, Xueyuan Road, Beijing, China ; (Y.L.);(K.X.)

pp. 488-508 · 10.2478/qic-2025-0027

Abstract

Quantum network coding enables multi-party quantum interactions over bottleneck channels. The communication distance is usually constrained by the instability of quantum states. Twin-field quantum key distribution is designed to improve the communication distance, but it can only be applied in point-to-point scenarios. In this paper, we propose a feasible twin-field quantum network coding scheme, which enables multi-party key distribution over long distance in networks with bottleneck channels. Firstly, a butterfly network model is designed for long-distance communication. Then, the coding method at each intermediate node is designed to overcome the limitations of bottleneck channels. Finally, the key rate and decoy-state transmission features are derived to demonstrate the security and efficiency advantages. Compared with the original point-to-point twin-field quantum key distribution protocol, the proposed scheme can distribute a group key among the four end nodes of the butterfly network with only one transmission round. The key rate R and the channel transmittance η still satisfy R ∝ η1/2. Such results will extend the communication distance and provide a foundation for the construction of large-scale quantum networks.
Open accessCC BY-NC-ND 4.0

Keywords

  • quantum network coding
  • quantum key distribution
  • twin-field
  • coherent measurement

Suggested citation

Yuchen Liu, Tao Shang, Keyu Xiong (2025). Twin-Field Quantum Network Coding for Multi-Party Key Distribution. Quantum Information & Computation, 25(5), 488-508. https://doi.org/10.2478/qic-2025-0027

References (29)

  1. R. Ahlswede and N. Cai (2000). “Network information flow.” IEEE Transactions on Information Theory, 46: 4, 1204–1216.DOI: 10.1109/18.850663Google Scholar
  2. M. Hayashi, K. Iwama, H. Nishimura, R. R. H. Putra and S. Yamashita (2007). “Quantum network coding.” In Proceedings of STACS 2007, Heidelberg, pp. 610–621.DOI: 10.1007/978-3-540-70918-3_52Google Scholar
  3. M. Hayashi (2007). “Prior entanglement between senders enables perfect quantum network coding with modification.” Physical Review A, 76: 4, 1–4.DOI: 10.1103/PhysRevA.76.040301Google Scholar
  4. T. Shang, X. J. Zhao and J. W. Liu (2014). “Quantum network coding based on controlled teleportation.” IEEE Communications Letters, 18: 5, 865–868.DOI: 10.1109/LCOMM.2014.033014.132816Google Scholar
  5. J. Li, X. Chen, X. Sun, Z. Li and Y. Yang (2016). “Quantum network coding for multi-unicast problem based on 2D and 3D cluster states.” Science China Information Sciences, 4, 1–15.DOI: 10.1007/s11432-016-5539-3Google Scholar
  6. T. Shang, J. Liu, Y. Liu, Y. Zhang, Y. Jiang and R. Du (2023). “Quantum network coding based on quantum steering.” In Proceedings of 2023 International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, pp. 171-176.DOI: 10.1109/WCSP58612.2023.10404622Google Scholar
  7. 7. Y. Shi and E. Soljanin (2006). “On multicast in quantum networks.” In Proceedings of 2006 40th Annual Conference on Information Sciences and Systems, Princeton, pp. 871–876.DOI: 10.1109/CISS.2006.286589Google Scholar
  8. Y. Hirota and M. Owari (2022). “Asymmetric quantum multicast network coding: asymmetric optimal cloning over quantum networks.” Applied Sciences, 12, 61–63.DOI: 10.3390/app12126163Google Scholar
  9. C. Pandey, S. Gupta, R. R. Das and A. Raina (2023). “Quantum network coding and distribution of maximally entangled states in measurement-based quantum computing.” In Proceedings of 2023 National Conference on Communications (NCC), Guwahati, pp. 1–6.DOI: 10.1109/NCC56989.2023.10067927Google Scholar
  10. Y. G. Yang, B. X. Liu, G. B. Xu, D. H. Jiang, Y. H. Zhou, W. M. Shi and T. Shang (2024). “Flexible quantum network coding by using quantum multiplexing.” Advanced Quantum Technologies, 9, 7.DOI: 10.1002/qute.202400016Google Scholar
  11. T. Shang, J. Li, Z. Pei and J. W. Liu (2015). “Quantum network coding for general repeater network.” Quantum Information Processing, 14: 9, 3533–3552.DOI: 10.1007/s11128-015-1066-1Google Scholar
  12. R. Liu, T. Shang and J. W. Liu (2020). “Quantum network coding utilizing quantum discord resource fully.” Quantum Information Processing, 19: 2, 1–19.DOI: 10.1007/s11128-019-2558-1Google Scholar
  13. T. Shang, Y. Zhang, R. Liu and J. Liu (2021). “Quantum network coding reducing decoherence effect.” Quantum Information Processing, 20: 8, 1–21.DOI: 10.1007/s11128-021-03200-2Google Scholar
  14. M. Lucamarini, Z. L. Yuan, J. F. Dynes and A. Shields (2018). “Overcoming the rate-distance limit of quantum key distribution without quantum repeaters.” Nature, 557: 6, 400–403.DOI: 10.1038/s41586-018-0066-6Google Scholar
  15. C. H. Bennett and G. Brassard (1984). “Quantum cryptography: Public key distribution and coin tossing.” Theoretical Computer Science, 560, 7–11.DOI: 10.1016/j.tcs.2014.05.025Google Scholar
  16. A. K. Ekert (1991). “Quantum cryptography based on Bell’s theorem.” Physical Review Letters, 67: 6, 331.DOI: 10.1103/PhysRevLett.67.661Google Scholar
  17. S. Zhang, J. Wang and C. J. Tang (2012). “Improved fake-state attack to the quantum key distribution systems.” International Journal of Theoretical Physics, 51: 9, 2719–2726.DOI: 10.1007/s10773-012-1155-1Google Scholar
  18. Y. J. Qian, D. Y. He, S. Wang, W. Chen, Z. Q. Yin, G. C. Guo and Z. F. Han (2019). “Hacking the quantum key distribution system by exploiting the avalanche transition region of single photon detectors.” Physical Review Applied, 13: 3, 1–8.DOI: 10.1103/PhysRevApplied.13.039901Google Scholar
  19. V. Gampala, B. Maram and A. Suja Alphonse (2023). “Secured quantum key distribution encircling profuse attacks and countermeasures.” In Proceedings of Emerging Technologies in Data Mining and Information Security, Singapore, pp. 233–241.DOI: 10.1007/978-981-19-4193-1_22Google Scholar
  20. W. Y. Hwang (2003). “Quantum key distribution with high loss: toward global secure communication.” Physical Review Letters, 91: 5, 1–4.DOI: 10.1103/PhysRevLett.91.057901Google Scholar
  21. K. Reaz, M. M. Hassan, A. Green, N. Crum and G. Siopsis (2024). “Experimental decoy-state asymmetric measurement-device-independent quantum key distribution over a turbulent high-loss channel.” Physical Review A, 4, 109.DOI: 10.1103/PhysRevA.109.042603Google Scholar
  22. C. Jiang, Z. W. Yu, X. L. Hu and X. B. Wang (2023). “Robust twin-field quantum key distribution through sending or not sending.” National Science Review, 4, 76–85.DOI: 10.1093/nsr/nwac186Google Scholar
  23. N. Gisin, S. Pironio and N. Sangouard (2010). “Proposal for implementing device-independent quantum key distribution based on a heralded qubit amplifier.” Physical Review Letters, 105: 7, 1–11.DOI: 10.1103/PhysRevLett.105.070501Google Scholar
  24. A. Laing, V. Scarani, J. Rarity and J. O’Brien (2010). “Reference-frame-independent quantum key distribution.” Physical Review A, 82: 1, 7261–7265.DOI: 10.1103/PhysRevA.82.012304Google Scholar
  25. H. K. Lo, M. Curty and B. Qi (2012). “Measurement-device-independent quantum key distribution.” Physical Review Letters, 108: 13, 1–7.DOI: 10.1103/PhysRevLett.108.130503Google Scholar
  26. X. B. Wang, Z. W. Yu and X. L. Hu (2018). “Sending or not sending: twin-field quantum key distribution with large misalignment error.” Physical Review A, 98, 1–13.DOI: 10.1103/PhysRevA.98.062323Google Scholar
  27. W. Cui, Z. Song, G. Huang and R. Jiao (2022). “Satellite-based phase-matching quantum key distribution.” Quantum Information Processing, 21: 9, 1–10.DOI: 10.1007/s11128-022-03656-wGoogle Scholar
  28. B. Qi, H. K. Lo, X. Ma and Y. Zhao (2005). “Practical decoy state for quantum key distribution.” Physical Review A, 72, 1–15.DOI: 10.1103/PhysRevA.72.012326Google Scholar
  29. P. Ercolano, D. Salvoni, C. Bruscino, M. D. Giancamillo, C. Zhang, M. Ejrnaes, J. Huang, H. Li, L. You and L. Parlato (2023). “Optimal configuration of a superconducting photon number resolving detector.” In Proceedings of SPIE, Prague, p. 6.DOI: 10.1117/12.2668928Google Scholar