Applied quantum kernels for anomaly detection. Low-data anomaly detection on manifold-structured telemetry, benchmarking entanglement kernels vs classical baselines with geometric diagnostics.

Quoptuna is a Python package supporting over 20 quantum machine learning models using PennyLane. These models include classifiers, neural networks, and kernel-based approaches. Quoptuna integrates seamlessly with quantum simulators, enabling model evaluation without requiring quantum hardware.

🛰 Enhance quantum telemetry analysis by detecting anomalies in quantum-kernel geometry with this reproducible framework for insightful research.