Optical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches

ArXi:2407.01734v4 Announce Type: replace-cross Quantum state tomography is a crucial technique for characterizing the state of a quantum system, which is essential for many applications in quantum technologies. In recent years, there has been growing interest in leveraging neural networks to enhance the efficiency and accuracy of quantum state tomography. However, versatile methods that are broadly applicable across diverse reconstruction scenarios remain relatively underexplored.