Conducting the advanced surrounding rock classification is a necessary working in the process of tunnel construction

which is directly related to subsequent excavation and supporting construction scheme. In order to conduct surrounding rock classification ahead tunnel advancing effectively

the advanced surrounding rock classification method based on digital drilling technology and quantum genetic algorithm (QGA)-radical basis function (RBF) neural network is put forward. The method extracts useful information from the drilling parameters; and it establishes the indicators system of advanced surrounding rock classification. In the progress of establishing advanced surrounding rock classification index system based on QGA-RBF neural network

the genetic algorithm are improved by quantum calculation principle; and the parameters of RBF neural network could be determined by quantum bit and rotation gate renew population. Finally

the method is applied to the subsea tunnel across Qingdao Jiaozhou bay engineering. The results show that the method has higher prediction accuracy and provides a new idea in advanced prediction of surrounding rock classification.