QuantumWire

In a recent study, a research team from Chiba University in Japan developed a novel data assimilation technique designed for quantum annealing machines. In the study, the team formulated the four-dimensional variational data assimilation (4DVAR) cost function, into a quadratic unconstrained binary optimization (QUBO) problem, which quantum annealers can solve. This new quantum annealing approach accelerates data assimilation, thereby addressing a main computational bottleneck for numerical weather predictions. With this algorithm, the research team successfully solved data assimilation on quantum annealers for the first time.