量子融资系统:量子算法、潜在方案和开放研究课题概览

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yang Lu, Jiaxian Yang
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引用次数: 0

摘要

量子融资系统是金融业可以预见的未来,它将表现出更加敏捷、准确和安全的性能。金融市场和相关活动正在发生动态变化,量子计算是顺应金融发展的新兴技术之一。我们试图勾勒出一个理论框架来说明量子融资系统,包括量子融资算法、量子融资电路和潜在的金融场景。由于量子计算机仍处于早期阶段,我们还从技术和操作的角度讨论了面临的挑战和未来的发展方向。本研究为有志于利用量子计算革新金融服务和系统的研究人员、从业人员和政策制定者提供了资源。本研究是描述量子融资系统未来生态的基础性研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum financing system: A survey on quantum algorithms, potential scenarios and open research issues

Quantum financing system is a foreseeable future of finance, which will demonstrate more agile, accurate, and secured performance. Financial markets and related activities are changing dynamically, and quantum computing is one of the emerging technologies responding to financial developments. We attempt to outline a theoretical framework to illustrate a quantum financing system, including quantum financing algorithms, quantum financing circuits, and potential financial scenarios. Since quantum computer is still in the early stage, challenges and future directions are also discussed from a technological and operational perspective. This study provides a resource for researchers, practitioners and policymakers interested in empowering quantum computing to revolutionize financial services and systems. The research is one of the foundational studies that describe future ecology of quantum financing system.

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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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