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The article discusses the use of quantum-enhanced latent space to improve the generalization capability of large machine learning models in tasks such as image recovery and manipulation. It compares the performance of the proposed method, QDGP, with other classical approaches and demonstrates its superiority in various computer vision tasks. The discovery has significant implications for improving the generalization of current deep learning models.