Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.

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

Controlled interpolation between classical and quantum learning. Binarized Quantum Neural Network benchmark harness for systematic sweeping a quantumness parameter to map learning phase transitions.

Research highlights in quantum technology and artificial intelligence; backpropagation training in adaptive quantum networks

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