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Quantum Computing for Modelling Climate

Complexity - a computational problem

Climate models, which use mathematical equations to simulate the physical processes of the transfer of energy and materials through the climate system, are known to be a complex and computationally intense problem. Building and running a climate model typically requires quantifying many interaction systems, modelling nonlinear effects in the earth system processes, and repeatedly solving the equations using powerful supercomputers.

The quantum way

The algorithms, which should be seen as quantum subroutines in a hybrid HPC/quantum computing setting, will be tested on several quantum computing platforms, including

  1. the state-of-the-art classical superclusters for simulating quantum computers
  2. new quantum cloud services provided by hardware developers and
  3. actual physical installations of quantum computers run by the centre’s hardware collaborator teams


Read more about the SDU Climate Cluster

Read more about the research at the Danish Meteorological Institute (only in Danish)

Read the news feature on this collaboration (QM news feature)

Centre for Quantum Mathematics, Department of Mathematics and Computer Science, University of Southern Denmark

  • Campusvej 55
  • Odense M - DK-5230
  • Phone: +45 6550 7359

Last Updated 02.11.2022