There have been substantial developments over the past decade in implementations of quantum computing, with a lot of exciting ongoing work developing large-scale devices with lower and lower error rates. In parallel, analogue devices offer opportunities to already realise a practical quantum advantage over classical computation for very specific problems.

In our group, we are working as part of several projects to develop new improvements to hardware for quantum computing, especially with Neutral atoms, as well as – crucially – new means to benchmark these devices. We are also working to develop algorithms and applications for both analogue quantum simulators, and fully digital quantum computing.

We are involved in several projects, including:


We also have close collaborations with our friends at Glasgow and Edinburgh Universities, through the Quantum Computing Application Cluster []


Recent publications:

  1. Peyman Givi, Andrew J. Daley, Dimitri Mavriplis, Mujeeb Malik, Quantum Speedup for Aeroscience and Engineering, AIAA Journal (2020)
  2. G. Xu, A. J. Daley, P. Givi, and R. D. Somma, Turbulent mixing simulation via a quantum algorithm , AIAA Journal 56, 687-699 (2017).