An Effective Parameter Analysis for Sending-or-Not-Sending Quantum Key Distribution with Untrusted Light Sources.

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Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Jiajian HuangGuangxi Key Laboratory of Cryptography and Infomation Security, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0009-0008-3087-6202

Weigang LiSchool of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.

Yucheng QiaoGuangxi Key Laboratory of Cryptography and Infomation Security, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0000-0001-9167-1958

Funding

National Natural Science Foundation of China 62301177

6 · The paper itself

Abstract

The twin-field (TF) protocol is a key protocol in quantum key distribution (QKD) that enables remote key distribution, achieving a maximum secure transmission distance of over 500 km. However, the TF protocol still faces several security issues in real-world environments. To address the issue of untrusted sources, one effective solution is to introduce a light-source monitoring module into the system. Analysis shows that a solution based on untagged bits (UBs) can achieve ideal monitoring performance. This solution can capture UB signals to accurately estimate key parameters in the protocol's security analysis, ultimately deriving a tight bound for the secure bit rate. Simulations show that this solution approximates the performance of ideal light sources in the presence of untrusted sources and effectively mitigates the impact of light-source fluctuations. It outperforms other solutions in key performance metrics, such as transmission distance.

Indexed as

light source monitoringquantum key distributionsending-or-not-sendingtwin fields

Identifiers

PMID40566134

DOI10.3390/e27060547

PMCPMC12192221

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.