  Quantum computers have attracted much attention in recent years. This may be
because the development of the actual quantum machine is accelerating. Research
on how to use quantum computers is active in the fields such as quantum
chemistry and machine learning, where vast amounts of computation are required.
However, in weather and climate simulations, less research has been done
despite similar computational demands. In this study, a quantum computing
algorithm was applied to a problem of the atmospheric science to demonstrate
that it can achieve the same simulations as a conventional algorithm designed
for the classical computers. More specifically, the stochastic nature of a
multi-cloud model was reproduced by utilizing probabilistic outputs of computed
quantum states. Our results demonstrate that quantum computers can suitably
solve some problems in atmospheric and oceanic phenomena, in which
stochasticity is widely inherent.
