English

Protocol choice and parameter optimization in decoy-state measurement-device-independent quantum key distribution

Quantum Physics 2014-06-03 v1

Abstract

Measurement-device-independent quantum key distribution (MDI-QKD) has been demonstrated in both laboratories and field-tests using attenuated lasers combined with the decoy-state technique. Although researchers have studied various decoy-state MDI-QKD protocols with two or three decoy states, a clear comparison between these protocols is still missing. This invokes the question of how many types of decoy states are needed for practical MDI-QKD. Moreover, the system parameters to implement decoy-state MDI-QKD are only partially optimized in all previous works, which casts doubt on the actual performance of former demonstrations. Here, we present analytical and numerical decoy-state methods with one, two and three decoy states. We provide a clear comparison among these methods and find that two decoy states already enable a near optimal estimation and more decoy states cannot improve the key rate much in either asymptotic or finite-data settings. Furthermore, we perform a full optimization of system parameters and show that full optimization can significantly improve the key rate in the finite-data setting. By simulating a real experiment, we find that full optimization can increase the key rate by more than one order of magnitude compared to non-optimization. A local search method to optimize efficiently the system parameters is proposed. This method can be four orders of magnitude faster than a trivial exhaustive search to achieve a similar optimal key rate. We expect that this local search method could be valuable for general fields in physics.

Keywords

Cite

@article{arxiv.1406.0188,
  title  = {Protocol choice and parameter optimization in decoy-state measurement-device-independent quantum key distribution},
  author = {Feihu Xu and He Xu and Hoi-Kwong Lo},
  journal= {arXiv preprint arXiv:1406.0188},
  year   = {2014}
}

Comments

11 pages

R2 v1 2026-06-22T04:27:52.719Z