Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields

ArXi:2603.29407v1 Announce Type: cross Accurate forecasting of three-dimensional (3D) cloud fields is important for atmospheric analysis and short-range numerical weather prediction, yet it remains challenging because cloud evolution involves cross-layer interactions, nonlocal dependencies, and multiscale spatiotemporal dynamics. Existing spatiotemporal prediction models based on convolutions, recurrence, or attention often rely on locality-biased representations and. therefore. struggle to preserve fine cloud structures in volumetric forecasting tasks.