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Author

Nan-Yow Chen

3 papers indexed here

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Preprint Aug 2026

Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

Electrocardiogram (ECG) recordings are sensitive biomedical data, limiting the ability of hospitals and wearable devices to share raw signals for centralized model training. Federated learning addresses this practical privacy constraint by enabling collaborative model training while keeping raw biosignal data at their...

Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Variational Quantum Attention for Molecular Graph Learning

Molecular property prediction is central to computational drug discovery, where graph neural networks learn to weight neighboring atomic environments during message passing. Yet it remains unclear how variational quantum circuits alter learned attention behavior in molecular graphs. We introduce an edge-aware variation...

Yu-Cheng Lin, Yu-Chao Hsu, Tai-Yue Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Unified Physics-Aware Quantum Machine Learning Framework across Power GaN HEMTs and Logic Nanowire FETs: Predicting Unseen Process Splits and Held-Out Geometry Combinations with Lower Error and Tighter Split-to-Split Variability

The potential of RL-selected, classically simulated PQCs as compact surrogates with low OOD error and improved physical consistency are demonstrated, despite imposing no explicit physical constraints, penalty terms, or device-specific equations, on the two evaluated device datasets.

Rushat Rai, Yun-Yuan Wang, Autsada Kakaen et al. · 0 citations

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