Image Reconstruction Through Adaptive Quantum Feature Representation Using Variational Autoencoders
Image reconstruction and generation have become fundamental tasks in computer vision and quantum-inspired machine learning. Existing quantum-inspired variational autoencoders have demonstrated promising capabilities; however, they often suffer from limited local feature representation, unstable optimization, and perfor...