论文标题
金融的量子计算：艺术和未来的前景
Quantum Computing for Finance: State of the Art and Future Prospects
论文作者
论文摘要
本文概述了我们关于财务问题的量子计算的适用性，最先进和潜力的观点。我们提供了量子计算的介绍，以及对金融问题类别的调查，这些量子在经典上具有计算性挑战性以及量子计算算法有希望的。在主要部分中，我们详细描述了金融服务中引起的特定应用程序的量子算法，例如涉及模拟，优化和机器学习问题的应用程序。此外，我们还包括IBM量子后端上的量子算法的演示，并讨论量子算法在金融服务中的潜在好处。我们总结了技术挑战和未来前景。
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in finance that are computationally challenging classically and for which quantum computing algorithms are promising. In the main part, we describe in detail quantum algorithms for specific applications arising in financial services, such as those involving simulation, optimization, and machine learning problems. In addition, we include demonstrations of quantum algorithms on IBM Quantum back-ends and discuss the potential benefits of quantum algorithms for problems in financial services. We conclude with a summary of technical challenges and future prospects.
