These achievements reinforce Imperial’s leadership in quantum-AI integration and map a path toward scalable, real-world quantum-enhanced computing solutions.

A hybrid quantum-classical system now demonstrates scalable learning across geographically separated nodes, pushing forward practical quantum machine learning with potential healthcare and complex problem applications.

The collaboration among Imperial, ORCA Computing, and the Poznań Supercomputing and Networking Center, supported by the QuEST Seed Fund, showcases a model for integrating quantum and AI in data centers.

Dr. Louis Chen and colleagues received the IEEE Quantum Technical Community Distinguished Technical Paper Award and Best in the Quantum Applications Track for “Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting.”

Top honors at the IEEE QCE25 conference went to Imperial College London’s QuEST center for quantum-AI work, underscoring practical advances in the field.

Professor Kin K. Leung’s team won the Second Best Technical Paper award for “Distributed Quantum Neural Networks,” tied to the Distributed Quantum Computing project.

The distributed quantum neural network was demonstrated in a hybrid HPC environment, merging photonic quantum processors with NVIDIA AI supercomputing and highlighted in NVIDIA’s UK AI infrastructure announcement.