Quantum path integral algorithm and its application in magnetotelluric inversion
量子路径积分算法及其在大地电磁反演中的应用

A quantum path integral algorithm (QPIA) is proposed in this paper by introducing quantum conceptions, such as the transverse field and propagator in quantum mechanics. Different from general methods, QPIA, which fully applies quantum-tunneling effect, can improve inversion efficiency greatly in the convergent rate and avoiding to be trapped in local minimum. By composing the objective function and regarding Feynman propagator as the acceptable probability, we accomplish the algorithm. Inversion results of one-dimensional synthetic data set and real data set show that QPIA is more precise, stable and fast to approach the true model compared with traditional nonlinear inversion methods.