Architectural Sensitivity of Variational Quantum Circuits for Nonlinear Time-Series Forecasting under NISQ Noise
Variational quantum circuits (VQCs) have been proposed as promising models for nonlinear learning tasks in the noisy intermediate-scale quantum (NISQ) era. This study presents a hybrid classical-quantum framework for nonlinear time-series forecasting that integrates causally-filtered Hidden Markov regime detection with...