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quant-ph2026
Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation
Chi-Sheng Chen, Samuel Yen-Chi Chen
Generative augmentation is a standard remedy for label scarcity in physiological signal classification, but existing quantum generative models start from uninformative noise, ignor…
quant-ph2025
Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
Chi-Sheng Chen, Samuel Yen-Chi Chen
Time series forecasting is vital in domains where data sensitivity is paramount, such as finance and energy systems. While Differential Privacy (DP) provides theoretical guarantees…
quant-ph2025
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
Chi-Sheng Chen, Samuel Yen-Chi Chen, Huan-Hsin Tseng
Electroencephalography (EEG) is widely used in neuroscience and clinical research for analyzing brain activity. While deep learning models such as EEGNet have shown success in deco…