3 papers
cs.LG2026
IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery
Sakthi Prabhu Gunasekar, Prasanna Kumar Rangarajan
Public lithium-ion battery datasets are increasingly used for state-of-health estimation, remaining-useful-life prediction, anomaly detection, electrochemical diagnostics, second-l…
cs.LG2026
MagBridge-Battery: A Synthetic Bridge Dataset for Li-ion Magnetometry and State-of-Health Diagnostics
Sakthi Prabhu Gunasekar, Prasanna Kumar Rangarajan
Battery health diagnostics today rely overwhelmingly on electrochemical signals measured at the cell terminals. A parallel literature has shown that magnetic sensing can resolve in…
quant-ph2026
Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data
Sakthi Prabhu Gunasekar, Prasanna Kumar Rangarajan
Synthetic Aperture Radar (SAR) data is inherently complex-valued, while quantum machine learning (QML) models operate in complex Hilbert spaces. This similarity suggests that using…