Variational Quantum Algorithms in Finance

被引：1

作者：

Cong, Thanh N. N. ^{[1
]}

Thi, Hiep. L. ^{[2
]}

机构：

[1] Duy Tan Univ, Inst Res & Dev, Da Nang City 550000, Vietnam

[2] Thu Dau Mot Univ, Fac Educ, Thu Dau Mot City 75000, Binh Duong, Vietnam

来源：

PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2024, VOL 6 | 2024年 / 1002卷

关键词：

Quantum computing; Quantum machine learning; Variational quantum algorithms;

D O I：

10.1007/978-981-97-3299-9_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The quantum processors' performance is predicted to surpass the traditional systems during this decade in computational performance and capabilities. This disruptive technology can significantly impact many industrial sectors in the long term. Other than communication and mathematics, we expect the finance sector to be one of the first to receive the prosperity of this new cutting-edge technology. This paper provides a review of the current progress on quantum algorithms for financial applications, specifically focusing on the use cases that can be addressed through machine learning.

引用

页码：15 / 25

页数：11

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