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USTC Achieves Efficient Entanglement Detection Through Machine Learning and Classical Communication Techniques
5 day ago /
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Author：小编
Recently, a research team headed by Liu Biheng and guided by Academician Guo Guangcan from the University of Science and Technology of China (USTC) has, in collaboration with researchers from the University of Electronic Science and Technology of China, the Austrian Academy of Sciences, and other esteemed institutions, achieved remarkable strides in the realm of quantum entanglement detection. Leveraging machine learning algorithms alongside classical communication strategies, the research group has successfully developed a method for efficient and cost-effective verification of quantum entanglement. Their groundbreaking findings have been published in the prestigious journal Physical Review Letters.
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