Researchers are exploring the use of neural networks and other machine learning techniques for quantum state tomography, a process used to characterize quantum systems. Various studies are investigating the application of these methods to different aspects of quantum systems, including phase classification, mixed-state tomography, and quantum entanglement. The use of artificial intelligence and deep learning appears to be a growing area of research in the field of quantum computing.