On the basis of the electrical impedance tomography（EIT） data acquisition system which uses sensors for potential measurements

an adaptive quantum particle swarm algorithm is proposed by the introduction of the quantum behavior property in the particle swarm search strategy.It improves the success rate of optimal solution search.It is used in solving the EIT inverse problem.The simulation results show that

compared with the particle swarm algorithm

quantum particle swarm optimization algorithm can more effectively overcome the premature convergence problem of particle swarm optimization（PSO） algorithm

convergent speed is fast and can effectively improve the image resolution.