Estimation of Quantum Channels Using Neural Networks
Hailan Ma, Zhenhong Sun, Shuixin Xiao, Daoyi Dong, Ian R. Petersen · 2023
Quantum 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.