The sudden outbreak of COVID-19 has a great impact on human life security and global economic development. To deal with the rampant pandemic, many countries have taken strict control measures, including restricting gathering in public places and stopping the production of enterprises; as a result, many enterprises suffered great challenges in survival and development during the pandemic. In order to help enterprises monitor their own financial situation and realize their healthy development under the pandemic, this paper constructs an Enterprise Financial Early Warning Model, in which Quantum Rotation Gate is used to optimize four algorithms, namely, Fruit Fly Optimization Algorithm (QFOA), Bee Colony Optimization Algorithm (QABC), Particle Swarm Optimization (QPSO), and Ant Colony Optimization (QACO). The results show that the ability of the prediction model can be greatly improved by using the Quantum Rotation Gate to optimize these four algorithms.

中文翻译：

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基于量子FOA-SVR的企业财务预警模型构建

COVID-19的突然爆发对人类生命安全和全球经济发展产生了巨大影响。为应对肆虐的疫情，许多国家采取了严格的管控措施，包括限制公共场所聚集、停止企业生产等；受疫情影响，不少企业在疫情期间生存发展面临巨大挑战。为帮助企业在疫情下监控自身财务状况，实现企业健康发展，本文构建了企业财务预警模型，利用量子旋转门优化四种算法，即果蝇优化算法（QFOA） 、蜂群优化算法 (QABC)、粒子群优化 (QPSO) 和蚁群优化 (QACO)。