An EPSRC Robust and Reliable Quantum Computing Grant will be awarded to Anuj Dawar (Cambridge), Tom Gur (Warwick), Tom Melham (Oxford), and Sergii Strelchuk (Cambridge). The project sets out to explore the role of symmetry and structure in quantum computation, with applications to classical verification and simulation of quantum computation.

In addition, the project aims to strengthen and create new connections and collaborations between Cambridge, Oxford, and Warwick in the field of Quantum Computing (building on existing initiatives such as the Cambridge-Warwick Quantum Colloquium) and establish new partnerships with Warwick Quantum.

Dr. Gihan Mudalige at the University of Warwick’s Department of Computer Science have been awarded an Engineering and Physical Sciences Research Council (EPSRC) ExCALIBUR research grant as part of a consortium of researchers including the Science and Technologies Facilities Council (STFC), universities of Warwick, Newcastle, Cambridge, Southampton and led by Imperial College London.

This 3 year, £2.6M project brings together communities from the UK Turbulence Consortium (UKTC) and the UK Consortium on Turbulent Reacting Flows (UKCRF) to ensure a smooth transition to exascale computing, with the aim to develop transformative techniques for advancing their production simulation software ecosystems dedicated to the study of turbulent flows. It is part of the ExCALIBUR (Exascale Computing ALgorithms and Infrastructures Benefiting UK Research) programme, aimed at delivering the next generation of high-performance simulation software for the highest-priority fields in UK research.

We are delighted to report that Dr Ramanujan Sridharan (PI) from the Theory and Foundations (FoCS) research theme at the Department of Computer Science and Professor Graham Cormode (Co-I, affiliated with FoCS) have been awarded an EPSRC Standard Research Grant, "New Horizons in Multivariate Preprocessing (MULTIPROCESS)".

This 4-year £540K project aims to advance the theory of preprocessing by designing novel multivariate preprocessing algorithms and extending their scope to high-impact big data paradigms such as streaming algorithms.