Optimization Strategy for Satelliet Submarine Quantum Communication based on Improved Ant Colony Algorithm

This article proposes an optimization strategy for star submarine quantum communication based on improved ant colony algorithm, aiming to solve the problems of signal attenuation and bit error rate caused by factors such as particle pollution and transmission distance in the star submarine quantum communication link. By introducing an improved ant colony algorithm, key parameters in quantum communication links (bit error rate, link attenuation, and satellite signal strength) were optimized, and a comprehensive performance objective function was constructed based on the characteristics of quantum communication. The experimental results show that the improved ant colony algorithm can effectively improve the receiving efficiency of quantum optical signals, reduce the bit error rate, and maintain high communication reliability in complex environments. Compared with traditional ant colony algorithm and three multi-objective optimization algorithms, the improved ant colony algorithm shows significant advantages in objective function correlation, time complexity, and actual communication performance. This study provides new ideas for the combination of star submarine quantum communication and artificial intelligence fields.