Quantum Algorithm for a Stochastic Multicloud Model

Quantum computers have attracted much attention in recent years. This is 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 is applied to a problem of the atmospheric science. The effectiveness of the proposed algorithm is evaluated using a quantum simulator. The results show that it can achieve the same simulations as a conventional algorithm designed for classical computers. More specifically, the stochastically fluctuating behavior of a multi-cloud model was obtained using classical Monte Carlo method, and comparable results are also achieved by utilizing probabilistic outputs of computed quantum states. Our results show that quantum computers have a potential to be useful for the atmospheric and oceanic science, in which stochasticity is widely inherent.

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Institutions

Publication Details

Journal
SOLA
Published
2024-12-10
DOI
https://doi.org/10.2151/sola.2025-006
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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article

Quantum Algorithm for a Stochastic Multicloud Model

Hiroaki Miura, Kazumasa Ueno
1 citations
SOLA
Quantum Computing Algorithms and Architecture
0.35
article

Quantum Algorithm for a Stochastic Multicloud Model

Hiroaki Miura, Kazumasa Ueno
article en
1 citations

Abstract

Quantum computers have attracted much attention in recent years. This is 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 is applied to a problem of the atmospheric science. The effectiveness of the proposed algorithm is evaluated using a quantum simulator. The results show that it can achieve the same simulations as a conventional algorithm designed for classical computers. More specifically, the stochastically fluctuating behavior of a multi-cloud model was obtained using classical Monte Carlo method, and comparable results are also achieved by utilizing probabilistic outputs of computed quantum states. Our results show that quantum computers have a potential to be useful for the atmospheric and oceanic science, in which stochasticity is widely inherent.

SOLAVol. 21(0)
Planetary Science Institute (US), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 31%
Quantum Computing Algorithms and Architecture
0.35
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Quantum Algorithm for a Stochastic Multicloud Model — Hiroaki Miura, Kazumasa Ueno · SOLA (2024) | TGRS Research Map | TGRS