@ericyocam6Shipped: Quantum Circuit Anomaly Detection — Adversarial Security
An open-source quantum computing security proof of concept investigating how anomaly detection can identify simulated adversarial disturbances in quantum circuits.
The framework uses Google's Cirq and PennyLane to construct and simulate quantum circuits, encode MNIST image data into quantum rotations, and introduce controlled perturbations through randomized qubit rotations. By analyzing quantum measurement outcomes and applying configurable anomaly thresholds, the system explores how abnormal circuit behavior can be detected.
Implemented in Python, the project includes quantum circuit visualizations, experimental comparisons, and adjustable parameters for noise probability, circuit configuration, and detection thresholds.
The research explores the intersection of quantum computing, cybersecurity, and anomaly detection, providing a foundation for future work in quantum machine learning, adversarial robustness, and quantum circuit security.
This is an educational and experimental simulation, not a validated quantum hardware intrusion detection system.
Comments2
Are you using this in your Cal Poly classes first, or pitching it to companies that rent time on quantum computers?
Thanks, Ryan. My initial focus is on using this as an educational and research tool, particularly in my cybersecurity courses at Cal Poly. It provides a practical way for students to explore quantum circuits, adversarial disturbances, and anomaly detection. Longer term, I see potential applications for organizations using cloud-based quantum computing platforms, but further validation on actual quantum hardware would be necessary. For now, the goal is to establish a foundation for research and education. Appreciate the feedback!
2 comments
Are you using this in your Cal Poly classes first, or pitching it to companies that rent time on quantum computers?
Thanks, Ryan. My initial focus is on using this as an educational and research tool, particularly in my cybersecurity courses at Cal Poly. It provides a practical way for students to explore quantum circuits, adversarial disturbances, and anomaly detection. Longer term, I see potential applications for organizations using cloud-based quantum computing platforms, but further validation on actual quantum hardware would be necessary. For now, the goal is to establish a foundation for research and education. Appreciate the feedback!