Application of quantum computing based on heterogeneous cellular network algorithm in college student entrepreneurship management

With the rapid development of information technology, the amount of information in all walks of life has also increased sharply, and the information that people face is heterogeneous, large-scale and dynamic. This is an urgent problem to be solved in the research of data mining system based on heterogeneous cellular network algorithm, and it is also the focus of academic attention. At present, entrepreneurship has become an important way for college students to find employment. However, the risks and challenges of entrepreneurship are also increasing, so it is necessary to find an innovative way to solve these problems. This paper aims to explore the application of quantum computing based on heterogeneous cellular network algorithm in college students’ entrepreneurial management, in order to provide a new solution. This paper studies the basic principle of heterogeneous cellular network algorithm and quantum computing, and puts forward the method of applying these two technologies to college students’ entrepreneurial management. By using heterogeneous cellular network algorithms to manage the flow of information during the startup process, and using quantum computing to optimize the decision-making process. After experiment and analysis, this method can improve the accuracy and efficiency of entrepreneurial decision-making, while reducing risks and challenges, with high feasibility and practicability, and can help college students better cope with the challenges in the process of entrepreneurship and achieve better results.