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Estimation of Quantum Channels Using Neural Networks

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Date

2023

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Access Statement

Research Projects

Organizational Units

Journal Issue

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.

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Keywords

Citation

URI

https://hdl.handle.net/1885/733812346

Collections

ANU Research Publications

Source

Type

Conference paper

Book Title

2023 62nd IEEE Conference on Decision and Control, CDC 2023

Entity type

Publication

Access Statement

License Rights

DOI

10.1109/CDC49753.2023.10384297

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