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1347 articles · Page 15 of 57

The Quantum AI That Predicts Chaos and Changes Who Controls Scientific Computing

Predicting fluid turbulence with sustained accuracy over time is one of the most costly problems in computational physics. On April 17, 2026, researchers at University College London published in Science Advances a result worth reading carefully: an AI model trained on data preprocessed by a 20-qubit quantum computer achieved 20% greater accuracy in predicting chaotic systems and required hundreds of times less memory than equivalent classical approaches.