12 papers
Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture
Tien-Ching Hsieh, Yun-Cheng Tsai, Samuel Yen-Chi Chen
This work investigates how shallow, NISQ-compatible quantum layers can improve temporal representation learning in real-world sequential data. We develop a QLSTM Seq2Seq autoencode…
Automated Analysis of DFT Output Files for Molecular Descriptor Extraction and Reactivity Modeling
Yu-Chien Huang, Dennis Chung-Yang Huang, Yun-Cheng Tsai
Understanding the relationship between molecular structure and chemical reactivity or properties is fundamental to rational molecular design. Linear free energy relationships (LFER…
Batched Training for QLSTM vs. QFWP: A System-Oriented Approach to EPC-Aware RMSE-DA
Jun-Hao Chen, Ming-Kai Hung, Yun-Cheng Tsai +1
We compare two quantum sequence models, QLSTM and QFWP, under an Equal Parameter Count (EPC) and adjoint differentiation setup on daily EUR USD forecasting as a controlled one dime…
Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection
Yen-Ku Liu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
Traditional ETF stock selection methods and reinforcement learning models such as the Asynchronous Advantage Actor-Critic (A3C) often suffer from high-dimensional feature spaces an…
Enhancing the Practical Reliability of Shor's Quantum Algorithm via Generalized Period Decomposition: Theory and Large-Scale Empirical Validation
Chih-Chen Liao, Chia-Hsin Liu, Yun-Cheng Tsai
This work presents a generalized period decomposition approach, significantly improving the practical reliability of Shor's quantum factoring algorithm. Although Shor's algorithm t…
A Modular AIoT Framework for Low-Latency Real-Time Robotic Teleoperation in Smart Cities
Shih-Chieh Sun, Yun-Cheng Tsai
This paper presents an AI-driven IoT robotic teleoperation system designed for real-time remote manipulation and intelligent visual monitoring, tailored for smart city applications…