Related Experiment Video
Updated: Jun 23, 2025

12:19
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
Published on: April 4, 2017
8.4K
A comparison between the measurement of quantum spatial correlations using qCMOS photon-number resolving and electron
K Roberts1, O Wolley1, T Gregory1
1School of Physics and Astronomy, University of Glasgow, Glasgow, UK.
Scientific Reports
|June 25, 2024
Summary
Photon-number resolving cameras efficiently measure spatial correlations in photon pairs from parametric down-conversion. This quantum imaging technology offers comparable performance to single-photon cameras with added photon-number resolution.
Area of Science:
- Quantum Optics
- Photonics
- Quantum Imaging
Background:
- Parametric down-conversion produces photon pairs with strong spatial correlations.
- These correlations are crucial for quantum imaging, sensing, and optical processing applications.
- Traditional single-photon cameras capture these correlations but lack photon-number resolution.
Purpose of the Study:
- To demonstrate the capability of photon-number resolving cameras for measuring spatial correlations.
- To assess the performance and efficiency of these cameras in quantum imaging setups.
Main Methods:
- Utilized a photon-number resolving camera to observe spatial correlations.
- Employed parametric down-conversion as the photon source.
- Measured correlations over several thousand spatial modes using a single-mode laser pump.
Main Results:
- Spatial correlations were observed in a short measurement time (tens of seconds).
- Photon-number resolving cameras achieved performance comparable to single-photon sensitive cameras.
- Demonstrated the added value of photon-number resolution in quantum measurements.
Conclusions:
- Photon-number resolving cameras are effective for measuring spatial photon correlations.
- These cameras offer a valuable alternative to existing technologies in quantum and low-light imaging.
- The technology shows significant potential for advancing quantum imaging and related fields.

