QUBO-Net: A Reverse Optimization Framework via Quantum Computing

Deep learning models have demonstrated outstanding performance in complex tasks such as image classification. However, optimizing these models often requires significant computational resources. By leveraging the optimization capabilities of quantum computing, more efficient training and inference methods can be developed for deep learning.