Estimation of Quantum Channels Using Neural Networks

Ma, HailanSun, ZhenhongXiao, ShuixinDong, DaoyiPetersen, Ian R.2026-07-032026-07-0397983503012430743-1546ORCID:/0000-0002-7425-3559/work/219177089ORCID:/0000-0003-4856-9450/work/219177635https://hdl.handle.net/1885/733812346Quantum process tomography is an essential task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this work, we propose a machine learning-based quantum process tomography method to reconstruct the Choi matrices of quantum channels from the measurements of the output states. Numerical results demonstrate that the proposed method exhibits a significant potential to achieve accurate reconstruction of different quantum channels.6enPublisher Copyright: © 2023 IEEE.Estimation of Quantum Channels Using Neural Networks202310.1109/CDC49753.2023.1038429785184832729