论文标题
天气和气候预测的量子计算机：好，坏和嘈杂
Quantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy
论文作者
论文摘要
在过去的几年中，量子计算机和量子算法引起了许多科学学科的极大兴趣和关注。在本文中，我们旨在为量子计算的关键方面提供非技术但内容丰富的介绍。我们讨论有一天量子计算机是否可能成为数值天气和气候预测的有用工具。使用最近开发的量子算法来求解非线性微分方程，我们集成了一个简单的非线性模型。除了考虑量子计算机必须提供的优点外，我们还将讨论一个试图将量子计算机用于涉及“大数据”（例如天气预测）的现实世界中问题时所面临的挑战。
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.
