EDBT 2026 Demo / reviewers in the wild / expert
Dunbar Birnie IV
dblp:324/1975
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-9418-8558ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › key management › key distribution
quantum key distribution |
0.7 | 1 | 2023 | Information Rates With Non Ideal Photon Detectors in Time-Entanglement Based QKD · IEEE Trans. Commun. 2023 |
Cryptographic protocols and secure computation
secret key rate |
0.7 | 1 | 2023 | Information Rates With Non Ideal Photon Detectors in Time-Entanglement Based QKD · IEEE Trans. Commun. 2023 |
Methods — techniques the papers use, named apart from their topics
pulse position modulation · 1.3markov chain model · 1.3discrete memoryless channel model · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Information Rates With Non Ideal Photon Detectors in Time-Entanglement Based QKDabstractWe develop new methods of quantifying the impact of photon detector imperfections on possible secret key rates in Time-Entanglement based Quantum Key Distribution (QKD). We address photon detection timing jitter, detector downtime, and dark photon counts and show how each may decrease the maximum achievable secret key rate differently. We begin with a standard Discrete Memoryless Channel (DMC) model to get a good bound on the mutual information lost due to the timing jitter, then introduce a novel Markov Chain (MC) based model to characterize the effect of detector downtime and show how it introduces memory to the key generation process. Finally, we propose a new method of including dark counts in the analysis that shows how dark counts can be especially detrimental when using the common Pulse Position Modulation (PPM) for key generation. Our results show that these three imperfections can significantly reduce the achievable secret key rate when using PPM for QKD. One of our main results is providing tooling for experimentalists to predict their systems’ achievable secret key rate given the detector specifications. Dunbar Birnie IV, Christopher Cheng, Emina Soljanin |
IEEE Trans. Commun. | 1 |