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An international team of scientists has made significant strides in understanding turbulent flows, a complicated natural phenomenon, using a new quantum computing-inspired method. This breakthrough was reported in a study published on January 29 in the journal Science Advances. According to lead author Nik Gourianov from the University of Oxford, current methods to simulate turbulence are limited and often require extensive computational resources. The team's approach models turbulence probabilistically, allowing for faster computation times—reducing simulations that would typically take days to mere hours.
James Beattie, a postdoctoral researcher at Princeton University, noted that this new methodology simplifies complex calculations, enabling them to be run on smaller devices, such as laptops. Although experts celebrate the advancement, they also caution that many challenges remain, particularly concerning the scale of turbulence, which can range vastly in size. Yongxiang Huang, an associate professor at Xiamen University, called the method a significant leap forward but acknowledged that it does not capture the complete complexity of turbulent flows.