Modeling of single-photon avalanche diode photon counts from spontaneous parametric down-conversion using fractional Poisson processes
Document Type
Article
Publication Date
1-1-2026
Abstract
This work introduces a novel, to our knowledge, approach using a dead-time-modified generalized fractional Poisson process (GFPP) to model the interarrival time statistics of photon counts from a spontaneous parametric down-conversion (SPDC) light source. The model accurately describes the experimental interarrival time histograms across a range of photon count rates, with power-law behavior at short timescales and exponential decay at long timescales. The analysis of the fitted parameters (xi, alpha and beta) reveals that the detection process can be characterized as a dead-time-modified Erlang-type process (beta approximate to 1), where the fractional order 0 < alpha < 1 quantifies the temporal clustering of photon detection events attributed to afterpulsing and twilight pulses. Cross-validation through Monte Carlo simulations confirms that the photon count distributions are consistent with the interarrival time analysis.
Keywords
Quantum key distribution, Photodiodes
Publication Title
Journal of the Optical Society of America B
ISSN
0740-3224
DOI
10.1364/JOSAB.577382
Recommended Citation
Tey, Lian Seng; Chong, Wu Yi; and Muniandy, Sithi Vinayakam, "Modeling of single-photon avalanche diode photon counts from spontaneous parametric down-conversion using fractional Poisson processes" (2026). Research Publications (2026 to 2030). 61.
https://knova.um.edu.my/research_publications_2026_2030/61
Volume
43
Issue
1
First Page
189
Last Page
198
Publisher
Optica Publishing Group