2 papers
quant-ph2025
Learning quantum tomography from incomplete measurements
Mateusz Krawczyk, Pavel Baláž, Katarzyna Roszak +1
We revisit quantum tomography in an informationally incomplete scenario and propose improved state reconstruction methods using deep neural networks. In the first approach, the tra…
quant-ph2025
Learning entanglement from tomography data: contradictory measurement importance for neural networks and random forests
Pavel Baláž, Mateusz Krawczyk, Jarosław Pawłowski +1
We study the effectiveness of two distinct machine learning techniques, neural networks and random forests, in the quantification of entanglement from two-qubit tomography data. Al…