Quick Navigation
Topics
Quantum Cryptography Security
Quantum Simulation
Afterpulsing Effect on the Baseline System Error Rate and on the Decoy-State Quantum Key Distribution Protocols
arXiv
Authors: Christos Papapanos, Dimitris Zavitsanos, Giannis Giannoulis, Adam Raptakis, Christos Kouloumentas, Hercules Avramopoulos
Year
2020
Paper ID
20139
Status
Preprint
Abstract Read
~2 min
Abstract Words
176
Citations
N/A
Abstract
There is considerable interest in predicting the efficiency of Quantum Key Distribution (QKD) protocols when one of their implementation quantities is modified. One significant imperfection that affects the efficiency of the setup is the afterpulse phenomenon which consists in the spontaneous detections triggered by trapped carriers after previous avalanches at the detectors. While it is widely studied in bibliography for various QKD protocols, it has been reported much more scarcely for the well-known decoy-state QKD protocols and for dual detectors only. We develop a theoretical analysis of afterpulsing effect on the decoy-state QKD protocols for multiple detectors, delivering results which can be used as a guide for every practical decoy-state QKD protocol implementation in real-world deployments. A new formula connecting the baseline system error rate and the afterpulse probability is derived which may hold for all protocols as it is consisted of only setup-related quantities. Numerical simulations addressing the significance of breaking down the quantities pertaining to the decoy-state QKD protocols are being made, focusing on the weak+vacuum decoy-state QKD protocol as a characteristic subcase.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- There is considerable interest in predicting the efficiency of Quantum Key Distribution (QKD) protocols when one of their implementation quantities is modified.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.