Researchers have been exploring the use of neural networks for quantum state tomography, a process used in quantum computing. Various approaches have been proposed, including the use of convolutional neural networks and generative query neural networks, with some experiments demonstrating enhanced quantum state reconstruction. The development of these methods aims to improve the efficiency and flexibility of quantum state tomography.