Machine learning for quantum estimation and control

Current project

Additional projects can be negotiated with SEIT supervisors who work in a related field.

Click on this link to see a spreadsheet containing a list of supervisors in SEIT and their respective research areas. Please contact the supervisors directly to negotiate a project.

We also offer research projects for Masters by Research and Master of Philosophy degrees.

All admission enquires for SEIT research degree students (e.g. Phd, Masters, MPhil) can be directed to:

seit.hdradmissions@adfa.edu.au

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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.

Contact:

A/Prof Daoyi Dong d.dong@unsw.edu.au, Dr Hidehiro Yonezawa h.yonezawa@unsw.edu.au or
Prof Valeri Ougrinovski v.ougrinovski@adfa.edu.au

Supervisor(s)