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Quantum data assimilation: A quantum leap in weather prediction

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant computational resources. To address this, researchers developed a novel method to solve data assimilation on quantum computers, significantly reducing the computation time. The findings of the study have the potential to advance NWP systems and will inspire practical applications of quantum computers for advancing data assimilation.

73 Indian Americans among top 300 high school scholars

73 Indian Americans among top 300 high school scholars
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WWF-Canada awards $300,000 in contracts for new

WWF Canada awards $300,000 contract for new technology to help measure carbon stocks in nature

  Nature x Carbon Tech Challenge winners are using innovation to help communities overcome barriers to measuring the impact of nature-based climate solutions. WWF-Canadian Nature x Carbon Tech event final winners Nature x Carbon Tech Challenge Award Winners Omid Reishi Galuei and Nee Trotl Razafinbero of Laval University, Agatha Rudd and Sean Rudd of Korotsu […]

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