Quantum estimation, control and learning: opportunities and challenges
Quantum Physics
2022-01-19 v1 Systems and Control
Systems and Control
Abstract
The development of estimation and control theories for quantum systems is a fundamental task for practical quantum technology. This vision article presents a brief introduction to challenging problems and potential opportunities in the emerging areas of quantum estimation, control and learning. The topics cover quantum state estimation, quantum parameter identification, quantum filtering, quantum open-loop control, quantum feedback control, machine learning for estimation and control of quantum systems, and quantum machine learning.
Cite
@article{arxiv.2201.05835,
title = {Quantum estimation, control and learning: opportunities and challenges},
author = {Daoyi Dong and Ian R Petersen},
journal= {arXiv preprint arXiv:2201.05835},
year = {2022}
}
Comments
11 pages, vision paper from the perspective of systems and control