Tomography of quantum detectors using neural networks
Hailan Ma, Shuixin Xiao, Daoyi Dong, Ian R. Petersen · IFAC-PapersOnLine · 2023
Quantum detector tomography is a fundamental technique for calibrating quantum devices and thus lay foundations for quantum information processing tasks. In this work, we propose a quantum detector tomography method that employs deep neural networks to reconstruct quantum detectors from a set of probe states with high efficiency. Numerical results demonstrate that the proposed method exhibits a significant potential to estimate phase-insensitive detectors.