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World’s Largest Chemical Company Leverages Quantum Computing for Weather Modeling Applications

  • July 21, 2022
  • Software

…BASF has begun to explore how PASQAL’s proprietary quantum algorithms could one day be used to predict weather patterns…

…PASQAL aims to solve the underlying complex nonlinear differential equations in a novel and more efficient way by implementing so-called quantum neural networks on its neutral atom quantum processors…

…The classical equivalent of this approach is physics informed neural networks (PINN) which are used broadly by leading scientists and technology corporations in weather and climate modeling…

Editor’s Note: Italicized statements are directly quoted from the source. Content may have been edited for style and clarity. Read the full article at the source by clicking on the text or image.

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  • Applications for Quantum Computing, BASF, Crop Optimization, Pasqal, Physics Informed Neural Networks, Quantum Algorithms, quantum computing applications, Quantum Neural Networks
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