Related papers: Quantum estimation, control and learning: opportunities and challenges

Quantum estimation, control and learning: opportunities and challenges

URL: http://arxiv.org/abs/2201.05835v1
Date: Sat, 15 Jan 2022 12:07:10 GMT
Title: Quantum estimation, control and learning: opportunities and challenges
Authors: Daoyi Dong, Ian R Petersen
Abstract summary: This 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 open-loop control, quantum feedback control, machine learning for estimation and control of quantum systems, and quantum machine learning.
Score: 4.622079557860986
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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.

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