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  4. A Method to Correct the Temporal Drift of Single-Photon Detectors Based on Asynchronous Quantum Ghost Imaging
 
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2024
Journal Article
Title

A Method to Correct the Temporal Drift of Single-Photon Detectors Based on Asynchronous Quantum Ghost Imaging

Abstract
Single-photon detection and timing has attracted increasing interest in recent years due to their necessity in the field of quantum sensing and the advantages of single-quanta detection in the field of low-level light imaging. While simple bucket detectors are mature enough for commercial applications, more complex imaging detectors are still a field of research comprising mostly prototype-level detectors. A major problem in these detectors is the implementation of in-pixel timing circuitry, especially for two-dimensional imagers. One of the most promising approaches is the use of voltage-controlled ring resonators in every pixel. Each of these runs independently based on a voltage supplied by a global reference. However, this yields the problem that the supply voltage can change across the chip which, in turn, changes the period of the ring resonator. Due to additional parasitic effects, this problem can worsen with increasing measurement time, leading to drift in the timing information. We present here a method to identify and correct such temporal drifts in single-photon detectors based on asynchronous quantum ghost imaging. We also show the effect of this correction on recent quantum ghost imaging (QGI) measurement from our group.
Author(s)
Pitsch, Carsten  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Walter, Dominik  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Gasparini, Leonardo
Bürsing, Helge  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Eichhorn, Marc  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Journal
Sensors. Online journal  
Open Access
DOI
10.3390/s24082578
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • ZsiF

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