Researchers are exploring the use of neural networks to learn and predict quantum states. Studies have demonstrated the potential of various approaches, including generative query neural networks and quantum convolutional neural networks, to efficiently learn quantum properties. The applications of these methods appear to include quantum state tomography, Hamiltonian simulation, and recognizing quantum phases.