The present invention relates to a parameter inversion method of a probability
integral method based on a
quantum annealing method. The method comprises: giving an initial value B0 of a parameter of the probability integral, and determining a temperature and
transverse field variation function, a fluctuation range + / -[
delta]B of each parameter of the probability integral, the maximum allowable step
length scale of the parameter, and the number of times M of internal loops; by calculating the objective function under the gradually decreased temperature and
transverse field, determining an optimal parameter solution at each temperature; and finally outputting the optimal parameter solution by determining the accuracy requirement or whether the minimum temperature and the
transverse field arereached. According to the method disclosed by the present invention, based on inheriting the advantages of the
simulated annealing method, the thermal fluctuation mechanism of the simulated annealingmethod is replaced by the
quantum fluctuation mechanism, so that the shortcomings of the
simulated annealing algorithm are effectively overcome; and compared with the parameter inversion method of the probability integral based on the
simulated annealing, by using the method disclosed by the present invention, the convergence speed and the possibility of
jumping out of the local optimal solutionare effectively improved, the
global optimization ability is enhanced, and the parameter inversion of the probability integral can be more accurate and reliable.