论文标题
金融行业量子计算的结构化调查
A Structured Survey of Quantum Computing for the Financial Industry
论文作者
论文摘要
量子计算机可以解决在“经典”硬件上不可行的特定问题。因此，收集量子计算机提供的加速度有可能改变使用计算（包括融资）的任何行业。已经提出并应用于涉及优化，模拟和机器学习问题的金融行业的第一个量子应用，并应用于用例，例如投资组合管理，风险管理和定价衍生产品。这项调查回顾了以结构化的方式为各种财务应用的量子计算的平台，算法，方法和用例。它旨在在金融行业工作，并概述当前的发展和能力，并了解金融行业中量子计算的潜力。
Quantum computers can solve specific problems that are not feasible on "classical" hardware. Harvesting the speed-up provided by quantum computers therefore has the potential to change any industry which uses computation, including finance. First quantum applications for the financial industry involving optimization, simulation, and machine learning problems have already been proposed and applied to use cases such as portfolio management, risk management, and pricing derivatives. This survey reviews platforms, algorithms, methodologies, and use cases of quantum computing for various applications in finance in a structured way. It is aimed at people working in the financial industry and serves to gain an overview of the current development and capabilities and understand the potential of quantum computing in the financial industry.
