Faculty/School

Faculty of Engineering

School of Electrical Engineering and Robotics

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Professor Clinton Fookes
Position
Professor
Division / Faculty
Faculty of Engineering
Dr Kien Nguyen Thanh
Position
Senior Research Fellow
Division / Faculty
Faculty of Engineering
Professor Sridha Sridharan
Position
Principal Research Fellow
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 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

The aim of the project is to develop new quantum machine learning and computer vision 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

1 November, 2024

End date

28 February, 2025

Location

GP campus

Keywords

Contact

Contact the supervisor for more information.