Titans-QFWP: A Regime-Aware Hybrid Quantum Fast Weight Programmer for Portfolio Optimization
An enhanced A3C^2 framework with Hungarian-aligned K-means clustering and scaled log-return rewards is introduced to address high-dimensional market features and reveals that quantum gating fundamentally reshapes memory component roles, with Persistence supporting drawdown control, Surprise contributing to return generation, and Forgetting providing additional stabilization.
Mingchou Hung, Jun-Hao Chen, Yun-Cheng Tsai et al.
· 0 citations