Optimisation problems occur frequently in real-world settings, for example in logistics where the most efficient route between locations needs to be found, and these are a likely application of quantum computing technology. NQIT is expanding to incorporate the solution of optimisation problems, to better position us as a source of information for practical applications of quantum information technology, and a trusted authority on quantum technologies in general.

Machine learning is one example of an approach to solving optimisation problems, which recent developments suggest can benefit from the use of quantum technology. To better investigate quantum applications to machine learning, we have recuited an expert in classical machine learning who will lead a new work package on Quantum Optimisation and Machine Learning, providing the background and expertise necessary to clarify the objectives that quantum technologies should target in machine learning, with others providing the required expertise in quantum technologies.

Read more about our Quantum Optimisation and Machine Learning work.