A Survey and Research on the Employment Situation of College Graduates--Taking the Zoology Major of Southwest Forestry University as an ExampleOpen Access
This article takes the 2021-2023 graduates of the Zoology major at Southwest Forestry University as an example. Firstly, a survey was conducted on the employment situation of college graduates, followed by an analysis of the current employment situation of college graduates. Then, the influencing factors of college graduates' employment were explained, and finally, intervention measures for college graduates' employment were discussed. Studying and analyzing the employment quality of such majors is of great practical significance for improving the employment situation of animal related majors.
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Design and Simulation of Quantum Approximate Optimization Algorithms for Portfolio Problems
DOI:https://doi.org/10.55571/jicm.2024.03032
Authors:Chun-Han Wu, Tian-Xiang Wei, Jia Liu, Shao-Jie Cai
Affiliation:
Information Engineering University, Zhengzhou, Henan, China
Information Engineering University, Zhengzhou, Henan, China
Southwestern University of Finance and Economics, Chengdu, Sichuan, China
Hubei Polytechnic University, Huangshi, Hubei, China
Information:Publication Date: June 25, 2024
Authors:Chun-Han Wu, Tian-Xiang Wei, Jia Liu, Shao-Jie Cai
Affiliation:
Information Engineering University, Zhengzhou, Henan, China
Information Engineering University, Zhengzhou, Henan, China
Southwestern University of Finance and Economics, Chengdu, Sichuan, China
Hubei Polytechnic University, Huangshi, Hubei, China
Information:Publication Date: June 25, 2024
Abstract:This paper studies the application of quantum approximate optimization algorithm in portfolio optimization problem, and focuses on the real stock market, analyzes and quantifies the real data of ten stocks, compares the performance of quantum approximate optimization algorithm and classical algorithm in solving this problem, and also analyzes the effect of noise on the solution using quantum approximate optimization, showing the performance of quantum approximate optimization algorithm in the financial stock market and the The performance and application value of the quantum approximate optimization algorithm in the financial stock market are shown.
Keywords:Quantum Approximate Optimization Algorithm; Portfolio optimization; Quantum noise analysis
Cite This Article:Wu C.H, Wei T.X., etc. (2024). Design and Simulation of Quantum Approximate Optimization Algorithms for Portfolio Problems. Journal of Intelligent Computing and Mathematics, Vol.3, No.3, pp 112-123. https://doi.org/10.55571/jicm.2024.03032
Keywords:Quantum Approximate Optimization Algorithm; Portfolio optimization; Quantum noise analysis
Cite This Article:Wu C.H, Wei T.X., etc. (2024). Design and Simulation of Quantum Approximate Optimization Algorithms for Portfolio Problems. Journal of Intelligent Computing and Mathematics, Vol.3, No.3, pp 112-123. https://doi.org/10.55571/jicm.2024.03032
