TY - JOUR AU - Koutný, Dominik AU - Motka, Libor AU - Hradil, Zdeněk AU - Řeháček, Jaroslav AU - Sánchez Soto, Luis Lorenzo PY - 2022 DO - 10.1103/PhysRevA.106.012409 SN - 2469-9926 UR - https://hdl.handle.net/20.500.14352/71858 T2 - Physical review A AB - We revisit the application of neural networks to quantum state tomography. We confirm that the positivity constraint can be successfully implemented with trained networks that convert outputs from standard feedforward neural networks to valid... LA - eng PB - Amer Physical Soc KW - Optics KW - Physics KW - Atomic KW - Molecular KW - Chemical TI - Neural-network quantum state tomography TY - journal article VL - 106 ER -