A case study about the role of priori knowledge in quantum information processing

The role of priori knowledge in quantum information processing is explored by investigating probabilistic remote state preparation in this paper. For a case study, a comparison has been made among three efficient schemes, which are used to perform the remote preparation of an arbitrary quantum state. The comparison results indicate that one can take advantage of priori knowledge to add the total successful probability and decrease the complexity of remote state preparation. Therefore, it is demonstrated that the priori knowledge could be used to improve the performances of quantum information processing systems.