Statistical Benchmarking of Scalable Photonic Quantum Systems

Area of Science:

• Quantum optics and photonics
• Quantum information science
• Experimental quantum physics

Background:

• Scalable photonic quantum technologies require generating many photons, distributing them in large networks, and detecting complex quantum correlations.
• Understanding macroscopic quantum systems relies on these capabilities.

Purpose of the Study:

• To explore the joint operation of key components for scalable photonic quantum technologies.
• To benchmark a time-multiplexing framework for generating, distributing, and analyzing multiphoton quantum correlations.
• To verify high-order nonclassical correlations in a complex quantum system.

Main Methods:

• Utilizing a high-performance source of multiphoton states and a large multiplexing network.
• Employing detectors with high photon-number resolution for quantum light distribution and correlation measurement.
• Implementing an adaptive approach with flexible time bins for analyzing correlations.

Main Results:

• Successfully verified high-order nonclassical correlations of many photons distributed over 64 modes.
• Produced and distributed approximately ten photons.
• Demonstrated nonclassicality with correlation functions up to the 128th order and high statistical significance.

Conclusions:

• The developed time-multiplexing framework is effective for scalable photonic quantum technologies.
• The system enables the analysis of complex quantum correlations previously inaccessible by classical means.
• This work advances the understanding and application of macroscopic quantum systems.