Researchers are exploring the use of neural networks and deep learning to improve quantum state tomography, a process for measuring quantum states. Various studies have been published on the topic, including methods for resource-efficient quantum correlation measurements and quantum phase classification. These developments suggest that artificial intelligence may play a role in enhancing quantum computing and quantum state reconstruction.