Understand the system.
Define the objective, map constraints and identify where complexity limits the current approach.
Intelligence beyond convention.
Exploring how quantum approaches and classical intelligence can become part of a more capable computational system.
VICELESS / QUANTUM INTELLIGENCEOne problem. Multiple ways forward.
Complex optimisation, uncertain information and large search spaces are fertile ground for new methods. Our research direction brings quantum-inspired approaches, machine learning and classical computation into a common experimental framework.
We do not assume that a new method is a better method. Every approach must earn its place against a strong baseline, using transparent measures of accuracy, robustness, time and resource use.
Explore the architecture.
Compare classical, quantum-inspired and hybrid methods with reproducible experiments.
Build a useful workflow.
Assess whether an experimental result can become a reliable, secure and maintainable system.
Research direction: these descriptions express our intended approach. They do not claim a demonstrated quantum advantage or a commercially available quantum product.
Read our perspective on hybrid systems ↗