Machine learning for quantum estimation and control

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This project aims to develop effective estimation and control methods using machine learning for quantum systems. Benchmarking and controlling quantum systems have been an important task in next generation technology. However, efficient methods for the estimation and control of complex quantum systems are lacking. The project will advance key knowledge and provide effective methods to enable us to identify and control complex quantum systems for wide applications arising in this emerging technological revolution. The research outcomes will make an important contribution to accelerating practical applications of future quantum technology.

An ideal candidate for this project should have the background of electrical engineering, applied mathematics, or quantum physics. She/He should have research experience in relevant areas. 

Supervisory team
Daoyi
Dong

UNSW Canberra
Engineering & Information Technology
Hidehiro
Yonezawa

UNSW Canberra
ARC Centre on Quantum Computation and Communication Technology
Valery
Ugrinovskii

UNSW Canberra
Engineering & Information Technology
d.dong@adfa.edu.au