PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 3, 20264 citations

High-rate quantum key distribution with compact state preparation and detection.

View Full Paper
GFGuan-Jie Fan-YuanWXWei-Xin XieDHDe-Yong He

Key Points

  • To develop a quantum key distribution (QKD) system that achieves high key generation rates while maintaining compactness for practical deployment.
  • Developed a deployable QKD system with a dual-parallel Mach-Zehnder encoder.
  • Integrated miniaturized single-photon avalanche detectors operating at 2.5 GHz.
  • Tested key generation rates at distances of 10 km and 100 km.
  • Achieved secure key rates of 60.33 ± 0.03 Mbps at 10 km and 3.08 ± 0.20 Mbps at 100 km.
  • Utilized compact design for unified preparation of polarization and decoy states.
  • Maintained high count rates from detectors with low noise.

Abstract

Quantum key distribution (QKD) is a promising technology for information-theoretic secure communications. The practicality of QKD systems is critical for large-scale network deployment, requiring both high key generation rate and miniaturized modules for quantum-state preparation and detection. Here, we report a deployable QKD system that achieves secure key rates of 60.33 ± 0.03 Mbps at 10 km and 3.08 ± 0.20 Mbps at 100 km. The system integrates a dual-parallel Mach-Zehnder encoder to achieve high-fidelity, unified preparation of polarization and decoy states via single-step modulation in a compact design. Meanwhile, we developed miniaturized single-photon avalanche detectors operating at 2.5 GHz, achieving high count rates while maintaining low noise. This high-performance and compact solution establishes a feasible roadmap for urban secure communication networks that require high capacity and bandwidth.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Fan-Yuan et al. (2026) studied this question.

synapsesocial.com/papers/69f6e5f38071d4f1bdfc68f4https://doi.org/10.1073/pnas.2521590123
Ask AI
Helpful
Bookmark
Share
View Full Paper