The invention provides a Bayesian-based parameter optimization method and
system for
quantum key distribution, relates to the technical field of
quantum information processing, and aims to solve the problems that in the prior art, the calculation amount is large, the efficiency is low, and real-
time parameter optimization of a high-speed
quantum key distribution system and the optimal configuration requirement of large quantum communication network resources are difficult to realize. The method comprises the following steps: acquiring
system parameters, a sending probability in an MDI-QKD protocol, and intensities of a
signal state and a
decoy state; the obtained data is preprocessed; according to the preprocessed data, a parameter optimal model based on
Bayesian optimization is constructed, training and testing are carried out, and a trained model is obtained; and inputting to-be-predicted
system parameters and the sending probability,
signal state and
decoy state intensity data in the MDI-QKD protocol into the trained model, and outputting optimal parameters. According to the method, the to-be-optimized
system parameters can be accurately predicted, the system parameter optimization efficiency is improved, the
time cost is reduced, and the
key generation rate is greatly improved.