[A-AS03] Large-scale moisture and organized cloud systems

[AAS03-P05] Application of Quantum Computing for Cloud Ensemble Representation

★Invited Papers

*Kazumasa Ueno¹, Hiroaki Miura¹ (1.School of Science, The University of Tokyo)

Keywords:Quantum Computing, Monte Carlo simulation, Stochastic Multi-cloud Model

Quantum computers may be characterized by their ability to reduce computational processing through the adept use of superposition, interference, and entanglement states. This novel type of computer is anticipated/expected to enable huge computations that are not expected to be feasible with classical computers even in the near future. Although extensive computations are usually required in the simulations of atmospheric and oceanic flows, research on the application of quantum computers in this field has been limited. Currently, the question of how quantum computers can be used in the atmospheric and oceanic sciences is still open. In this study, as a pilot study for the effective use of quantum computers, we propose an algorithm for computing the Stochastic Multi-cloud Model (Khouider et al., 2010) using quantum computations. This model conducts calculations of developments and decays of various types of clouds that are individually assigned to each sub-cell created by subdividing a region. Here, we demonstrate that by mapping the probability amplitude of quantum states to the cloud fractions, we can utilize the discrete nature of the output. As a result, we attain outcomes comparable to those obtained with traditional classical Monte Carlo simulations. Our results indicate that quantum computers can be used effectively to represent stochasticity in atmospheric and oceanic fields. We also discuss the use of other probabilistic representations and the potential for broader applications.