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arXiv:2210.17460quant-ph

Quantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy

Felix Tennie, Tim Palmer

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Abstract

Over the past few years, quantum computers and quantum algorithms have attracted considerable interest and attention from numerous scientific disciplines. In this article, we aim to provide a non-technical, yet informative introduction to key aspects of quantum computing. We discuss whether quantum computers one day might become useful tools for numerical weather and climate prediction. Using a recently developed quantum algorithm for solving non-linear differential equations, we integrate a simple non-linear model. In addition to considering the advantages that quantum computers have to offer, we shall also discuss the challenges one faces when trying to use quantum computers for real-world problems involving ''big data'', such as weather prediction.

arXiv comments
Journal reference
DOI
doi:10.1175/BAMS-D-22-0031.1
Subjects
quant-phQuantum Physics physics.ao-phAtmospheric and Oceanic Physics

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  1. Quantum winter is coming 1 comment
    • Yeah the "superset" perspective seems like you could end up cheating, implementing the equivalent of classical logic and probably much more slowly than a classical computer could do it. I googled around and found this research though, which does propose using a nonlinear quantum…

      JamesianPView on HNParent context

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