Quantum Circuit Generation

Quantum circuit generation is the process of designing and optimizing quantum circuits using generative models within the framework of classical machine learning. This task aims to algorithmically generate efficient quantum circuits to achieve specific quantum computing tasks. Quantum circuit generation not only enhances the design efficiency of quantum algorithms but also optimizes the utilization of quantum computing resources, playing a crucial role in areas such as quantum chemistry, quantum simulation, and quantum optimization.