Climate & sustainability

Quantum-Informed Climate ModelingMaturity: concept

Hybrid modelling of climate systems, parameterisation and scenario analysis.

concept — An idea we find credible. Nothing has been built or measured.

What this is

The problem

Climate models carry parameterisations — compact stand-ins for processes too small or too complex to simulate directly. Cloud formation is the well-known one. These approximations are where much of the model's uncertainty lives, and where two credible models most often disagree.

Where the current approach strains

Improving a parameterisation usually means more compute, more observational data, or both. Neither is quickly available, and the disagreement between models is not obviously converging.

What we are exploring

Whether hybrid methods offer a different handle on parameterisation and scenario analysis — not a faster version of the same calculation, but a different representation of the uncertainty itself.

What would have to be true

This is early. Before it is worth anyone's compute budget, we would need a specific sub-process where the hybrid representation is defensible on physical grounds, and a climate scientist willing to say the formulation is not nonsense. That conversation is the current work.

Where it applies

Energy & Sustainability

Climate & sustainability

concept

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.