Квадратичное программирование в модели распределения ресурсов в сельском хозяйстве на основе квантового алгоритма

This paper discusses the application of quantum algorithms to the problem of op timizing resource allocation in agriculture. In particular, the possibility of using the Quantum Approximate Optimization Algorithm to solve this problem is investigated. This is a quantum optimization algorithm that can be effectively applied to combinato rial optimization problems. The work involves adapting the algorithm to the problem of optimizing resource allocation in agriculture, including modeling the optimization func tion and taking into account resource use constraints. It is assumed that the use of a quantum algorithm can offer new approaches to solving complex optimization problems in agriculture and contribute to increasing the efficiency of resource use and improving the sustainability of production.

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