Trajectory optimization of solid launch vehicle was studied using Kriging model based quantum particle swarms optimization. The method uses Kriging method to establish trajectory calculation approximate model, and the optimization framework based on surrogate model was established by inducing quantum particle swarm optimization. The simulation results show that the method can effectively optimize trajectory parameters, the launching capacity of the launch vehicle is increased by 38 kg and work time on first time of third stage is reduced by 27s. The method is featured with less parameter set, can be easily realized and improve overall performance of the launch vehicle. All of those demonstrate that the research has certain engineering application value.