量子计算机
计算机科学
转化式学习
量子
量子技术
管理科学
物理
开放量子系统
经济
量子力学
社会学
教育学
作者
Dylan Herman,Cody Googin,Xiaoyuan Liu,Yanlong Sun,Alexey Galda,Ilya Safro,Marco Pistoia,Yuri Alexeev
标识
DOI:10.1038/s42254-023-00603-1
摘要
Quantum computers are expected to surpass the computational capabilities of classical computers and have a transformative impact on numerous industry sectors. We present a comprehensive summary of the state of the art of quantum computing for financial applications, with particular emphasis on stochastic modelling, optimization and machine learning. This Review is aimed at physicists, so it outlines the classical techniques used by the financial industry and discusses the potential advantages and limitations of quantum techniques. Finally, we look at the challenges that physicists could help tackle. Quantum computers are expected to surpass classical computers and transform industries. This Review focuses on quantum computing for financial applications and provides a summary for physicists on potential advantages and limitations of quantum techniques, as well as challenges that physicists could help tackle.
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