4 papers · 1 filter
Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecasting
Mu-En Lee, Yen-Ku Liu, Samuel Yen-Chi Chen +1
Quantum long short-term memory (QLSTM) models extend recurrent sequence learning with variational quantum circuits, but their optimization behavior can vary substantially across ra…
Titans-QFWP: A Regime-Aware Hybrid Quantum Fast Weight Programmer for Portfolio Optimization
Ming-Kai Hung, Jun-Hao Chen, Yun-Cheng Tsai +1
We propose Titans-QFWP, a hybrid reinforcement learning architecture integrating a Quantum Fast Weight Programmer with Titans-style memory (Persistence, Surprise, and Forgetting) f…
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai +1
The convergence of quantum-inspired neural networks and deep reinforcement learning offers a promising avenue for financial trading. We implemented a trading agent for USD/TWD by i…
Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data
Yun-Cheng Tsai, Samuel Yen-Chi Chen
Blockchain transaction data exhibits high dimensionality, noise, and intricate feature entanglement, presenting significant challenges for traditional clustering algorithms. In thi…