Industry
Energy & Sustainability
Grid, climate and materials workloads where model size is the binding constraint.
Problems we address
- Grid balancing with far more distributed generation than the model was designed for
- Climate and scenario analysis that outruns the available compute budget
- Carbon capture materials screening across an impractically large candidate space
- Efficiency programmes without the instrumentation to prove they worked
How we approach it
Related research
Maturity labels are not decoration. Most of this is at concept stage.
Quantum-Accelerated Climate Forecasting
Climate models trade resolution against ensemble size, and decision-makers usually need what the budget cannot give: many detailed scenarios rather than one. We are looking at whether the sampling step alone can be restructured, leaving the physics to the classical models that already handle it well. No classical baseline has been run yet, which is why this sits as a concept.
Quantum-Powered Carbon Capture Modeling
Molecular adsorption and sequestration modelling; MOF screening, reaction pathways and AI-assisted process optimisation.
Quantum-Informed Climate Modeling
Hybrid modelling of climate systems, parameterisation and scenario analysis.
Power Grid Optimisation
Load balancing, fault detection, grid stability and energy-distribution optimisation concept.