Quantum machine learning

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 activities

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 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.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

• quantum machine learning
• quantum computing
• machine learning
• computer vision

Contact

Contact the supervisor for more information.