Physics-Informed Security Engine for Quantum-Classical Systems

This is a system for monitoring and securing quantum and hybrid quantum-classical technologies by identifying deviations between expected and observed system behavior. The technology addresses challenges in detecting faults, noise, and potential interference at the interface between quantum and classical components. It enables real-time integrity assessment and response, improving the reliability and trustworthiness of advanced computing, communication, and sensing systems.

Description

This technology combines physics-informed modeling with statistical and information-based analysis to evaluate the behavior of systems that bridge quantum and classical domains. Measurement data from a system is continuously compared against expected behavior generated from a predictive model of system dynamics. Differences between predicted and observed states are analyzed using multiple metrics that characterize signal and system properties.

A modular architecture evaluates these deviations and produces indicators of system integrity or potential anomalies. The solution can be deployed as a standalone device, embedded module, or distributed system, and can operate inline between components to monitor both quantum and classical signals. By correlating modeled behavior with real-time data, the system can detect irregularities caused by noise, faults, or external disturbances, enabling rapid response and system-level awareness across a range of quantum-enabled platforms.

Additional technical details of the disclosed technologies can be found here:

• Entropy of the Quantum–Classical Interface: A Potential Metric for Security
• Simulating quantum-classical interfaces via the Lindblad master equation

Benefits

• Real-time detection of anomalies and system deviations 
• Improved reliability and integrity of quantum-classical systems 
• Flexible deployment across hardware and software architectures 
• Enhanced monitoring of low-signal and noise-sensitive environments 

Applications and Industries

• Quantum computing and communication systems 
• Advanced sensing and photonic platforms 
• Cybersecurity and system integrity monitoring 
• Telecommunications and signal processing 

Contact

To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.