Faculty/School

Faculty of Engineering

School of Electrical Engineering and Robotics

Topic status

We're looking for students to study this topic.

Research centre

Primary Supervisor

Dr Kien Nguyen Thanh
Position
Senior Research Fellow
Division / Faculty
Faculty of Engineering

Other QUT supervisors

Professor Clinton Fookes
Position
Head of School, Electrical Engineering and Robotics
Division / Faculty
Faculty of Engineering

Overview

Quantum machine learning is the integration of quantum algorithms within machine learning programs with great potential to solve complex problems. For instance, Google’s Sycamore processor (61) performs in 200 seconds a task that would require 10,000 years using a classical computer.

Research engagement

This project will develop new quantum machine learning methods in different applications and domains such as surveillance, medical, and energy. This will involve the development of new machine learning methods and evaluating these on public datasets.

Research activities

Research activities include:

  • research and development of novel quantum machine learning methods
  • experimental design
  • writing up, publishing and presenting research outcomes.

This project will build on an existing body of research conducted by the supervisory team.

Outcomes

For HDR students: the aim of the project is to develop new quantum machine learning, computer vision and AI models to solve the research gaps in the related fields.

Skills and experience

You must have:

  • a strong math background
  • programming experience (preferably Python).

Some machine learning and/or computer vision experience and/or quantum computing experience is desired.

Start date

3 November, 2026

End date

20 February, 2027

Location

GP campus

Keywords

Contact

Kien Nguyen

0402580882

nguyentk@qut.edu.au