A new study led by researchers at UCL (University College London) shows that combining quantum computing with artificial intelligence can significantly improve predictions of complex physical systems over long periods. The hybrid approach outperforms leading models that rely only on conventional computers. The results, published in Science Advances , could enhance simulations of how liquids and gases behave, known as fluid dynamics. These types of models are essential in fields such as climate science, transportation, medicine, and energy production. Why Quantum Computing Makes a Difference The improved accuracy appears to come from how quantum computers process information. Unlike traditional computers that use bits set to either 1 or 0, quantum computers use qubits, which can exist as 1, 0, or anything in between. In addition, each qubit can influence others, allowing a relatively small number of qubits to represent an enormous number of possible states.…