The basic Particle Swarm Optimization (PSO) algorithm has the problem of easy to get into local optimum when used in geomagnetic navigation path planning.Based on PSO and Quantum Evolution (QE) algorithm,the Quantum Particle Swarm Optimization (QPSO) algorithm was applied to solve the problem.Combined with constraints of aircrafts and characteristics of geomagnetic matching navigation,an adaptive evaluation function was designed as fitness function.The simulation results show that QPSO has faster convergence speed and can avoid falling into local optimum effectively,which prove the availability and feasibility of QPSO for applying to path planning based on geomagnetic matching navigation.