Public
Weather Forecasting
Since the 1950s, numerical simulation has enabled forecasts based on data from current weather conditions. Yet, despite dramatic increases in computational power weather forecasts are still very much an approximation.
Numerical modelling has therefore been selected as one of the World Climate Research Programme Grand Challenges.
Weather models requires solving complex nonlinear sets of PDEs and boundary conditions governing winds, heat transfer, solar radiation, relative humidity, terrain topology and many other parameters.
5% of global high performance computing resources are used for weather modeling.
PASQAL and BASF are testing PASQAL’s proprietary quantum DQC family of algorithms.
DQC promises to solve complex nonlinear PDEs with quantum neural networks on PASQAL’s neutral atom quantum processors, more accurately than classical solutions, with quantum advantage in the very near-term.

Quantum in Real Life

Thales
"Thales is fully committed to developing quantum technologies in particular for quantum sensors and quantum communications that will provide a real breakthrough for many Thales’ application domains. What is of particular importance to us, is that we will be able, together with PASQAL, to design and solve optimization problems related to real use cases of high importance for our customers, such as air traffic optimization or space mission scheduling to name a few."
Bernhard Quendt
SVP Group Chief Technical Officer, Thales
Learn More
Explore Other Industries
%20(1).webp)