Author

Kristen L. Rhinehardt

2 papers indexed here

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Preprint Oct 2026

Reduced Cost Quantum Kernel Training

Quantum kernel methods are promising for near-term quantum machine learning, but their training costs are driven by the quadratic scaling of Gram-matrix construction and the measurement cost of estimating individual kernel values. In this work, we investigate one-class anomaly detection as a resource-efficient operatin...

Daniel R. Germain, Benjamin Goldweber, Kayla J. Rodriguez et al. · 0 citations

Open access 2026

QDRFormer: Quantum-Inspired Density Representation Learning With Random Forest-Guided Transformers for Early Prediction of PLL Instability and Chaos

Early prediction of nonlinear instability in phase-locked loops (PLLs) is essential for ensuring the reliability of modern power electronic and communication systems. This paper presents QDRFormer, a quantum-inspired density representation learning framework integrating density-matrix-based features, local instability...

Hamid D. Ismail, A. Harb, B. Gokaraju et al. · IEEE Access · 0 citations