Quantum tomography benchmarking

Recent advances in quantum computers and simulators are steadily leading us towards full-scale computing devices. Due to the fact that debugging is necessary create any device, tomography (QT) a critical milestone on this path. In practice, choice between different QT methods faces lack of comparison methodology. Modern research provides wide range methods, which differ their application areas, as well experimental computational complexity. Testing such also being made under conditions, various efficiency measures applied. Moreover, many have complex programming implementations; thus, becomes extremely difficult. study, we developed general methodology for comparing state methods. The based an estimate resources needed achieve required accuracy. We software library (in MATLAB Python) makes it easy analyze method implementation through series numerical experiments. conditions simulation set by number tests corresponding real physical As validation proposed software, analyzed compared analysis revealed some method-specific features provided estimates relative