In collaboration with prestigious research institutions including the Fundamental and Frontier Research Institute and the Key Laboratory of Quantum Physics and Quantum Optical Information at the University of Electronic Science and Technology of China, a team led by Professor Wang Zizhu has pioneered a novel approach in the realm of Quantum AI. The team has successfully integrated deep generative networks into quantum variational optimization, introducing the Variational Generative Optimization Network (VGON). This groundbreaking innovation offers a pivotal optimization algorithm tool for the advancement of quantum artificial intelligence. VGON seamlessly fuses deep generative models with variational optimization, enabling the efficient production of multiple high-quality solutions following a single training session. This achievement transcends the constraints of conventional methods, demonstrating remarkable superiority across various quantum tasks.