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A UCL-led study in Science Advances shows a hybrid quantum-AI model outperforms classical computers at predicting complex physical systems like fluid dynamics. The approach integrates quantum computing into AI training, using qubits to improve long-term forecast accuracy for climate science, medicine, and energy.
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