Estimation of Quantum Channels Using Neural Networks
Loading...
Date
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
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.