Mihai Udrescu

Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction

2025 · arXiv (Cornell University)

Long-range time series forecasting remains challenging, as it requires capturing non-stationary and multi-scale temporal dependencies while maintaining noise robustness, efficiency, and stability. Transformer-based architectures such as Autoformer and Informer improve generalization but suffer from quadratic …