Neural Network Approaches for Quantum State Tomography

Two neural network-based methods, Restricted Feature Based Neural Network and Mixed States Neural Network, achieve state-of-the-art performance in reconstructing both pure and mixed quantum states. The approaches leverage class information during reconstruction to enhance efficiency and accuracy in quantum state tomography, a crucial technique for quantum technologies. The research addresses the need for versatile methods applicable across diverse reconstruction scenarios.