Linearity and scalability of photon counting: toward accurate multiparameter photonic sensing

We introduce the direct linearity characterization of single-photon detectors and photon-number-resolving detectors. We discuss the supralinearity that goes beyond the current single-photon detection models. We also report on advanced detectors and sensors of statistical, vector, and correlation properties of light down to the single-photon level. The novel detection schemes harness complex optical networks, single-photon detector arrays, and deep learning. We present high-fidelity photon statistics estimation, resource-efficient polarization sensor, and quantum entanglement detector. We discuss the efficiency and scaling of the presented detection modalities.

Authors

Institutions

Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1117/12.3056202
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linearity and scalability of photon counting: toward accurate multiparameter photonic sensing

Miroslav Ježek
Advanced Optical Sensing Technologies
article

Linearity and scalability of photon counting: toward accurate multiparameter photonic sensing

Miroslav Ježek
article en

Abstract

We introduce the direct linearity characterization of single-photon detectors and photon-number-resolving detectors. We discuss the supralinearity that goes beyond the current single-photon detection models. We also report on advanced detectors and sensors of statistical, vector, and correlation properties of light down to the single-photon level. The novel detection schemes harness complex optical networks, single-photon detector arrays, and deep learning. We present high-fidelity photon statistics estimation, resource-efficient polarization sensor, and quantum entanglement detector. We discuss the efficiency and scaling of the presented detection modalities.

Palacký University Olomouc (CZ)
Openalex Percentile: Top 87%
Advanced Optical Sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.