Science Daily June 13, 2024
In the context of numerical weather prediction (NWP), data assimilation is particularly vital for improving initial conditions and subsequent predictions. However, the computational demands imposed by conventional approaches, pose notable challenges in computational time. Researchers in Japan proposed quantum data assimilation approach which solves the data assimilation problem using quantum annealers. Their experiments using the 40-variable Lorenz model were highly promising, showing that the quantum annealers produced an analysis with comparable accuracy to conventional data assimilation approaches. In particular, the D-Wave Systems physical quantum annealing machine achieved a significant reduction in execution time… read more. Open Access TECHNICAL ARTICLE
Conceptual image of 4DVAR data assimilation…Credit: Nonlinear Processes in Geophysics, 2024; 31 (2): 237Â