3 papers
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…
q-bio.NC2025
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding
Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai +1
Electroencephalography (EEG) is a critical tool in neuroscience and clinical practice for monitoring and analyzing brain activity. Traditional neural network models, such as EEGNet…