Fig. 2
From: Quantum-enhanced dual-layer graph attention network for time-series forecasting
Overall architecture of the proposed quantum-enhanced forecasting model, which incorporates Quantum Fourier Transform (QFT), dual-path attention for seasonal-trend decomposition, hierarchical Q-FR-Q blocks for multi-scale frequency refinement, and graph-based sequence decoding to comprehensively model temporal dynamics and inter-node dependencies.
