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Tomography of quantum detectors using neural networks

Hailan Ma, Shuixin Xiao, Daoyi Dong, Ian R. Petersen

Published Jan 1, 2023• 3 citations

Abstract

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.

DOI: 10.1016/j.ifacol.2023.10.088

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