Rational utilization of plant bioresources and optimal biomass allocation based on a quantum approach

In this paper, a quantum-classical hybrid optimization method is developed to maximize the biomass of several plant species and ensure the efficient use of available resources. The developed model consists of two parts: the first part uses a classical mathematical model and the least squares method to determine plant growth parameters based on accurate field data; the second part uses a quantum variational quantum algorithm to optimally allocate resources. The resource allocation determined by the quantum algorithm is integrated into optimal control functions based on Pontryagin theory. The model results reflect the time-dependent dynamics of biomass for different plant species, control functions, and the influence of soil conditions (electrical conductivity and pH). The results obtained show that the quantum-classical hybrid approach provides an increase in plant biomass and efficient use of resources, and also accurately takes into account the influence of soil conditions on the growth process.