量子计算机
计算机科学
量子
计算
计算科学
量子算法
计算金融学
转化式学习
比例(比率)
理论计算机科学
算法
财务
物理
量子力学
心理学
教育学
经济
作者
Yen-Jui Chang,Ming-Fong Sie,Shih-Wei Liao,Ching‐Ray Chang
出处
期刊:IEEE Nanotechnology Magazine
[Institute of Electrical and Electronics Engineers]
日期:2023-03-15
卷期号:17 (2): 31-37
被引量:4
标识
DOI:10.1109/mnano.2023.3249501
摘要
Quantum computation holds the promise of highly efficient algorithms, provides exponential speedups for specific technologically significant problems, plays the most promising role in quantum technological progress, and has transformative potential in numerous industry sectors. In quantum computing, finance is recognized as one of the most beneficial areas because of the potential for many financial cases that can be solved by quantum algorithms suitable for noisy-intermedia-scale quantum(NISQ) computers. The benefits of quantum computing are colossal time and computational memory reduction with which the computational tasks are performed, which leads to the accuracy of the computations. This paper presents a comprehensive summary of quantum computing for traditional and Blockchain financial applications.
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