Variational optimization for quantum problems using deep generative networks | Communications Physics
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Research on the use of deep generative networks for variational optimization of quantum problems has been reported. The development appears to involve applications of quantum computing and artificial intelligence, with potential uses in fields such as machine learning and drug discovery. The specifics of the breakthrough and its implications are not entirely clear, with various outlets highlighting different aspects of the technology.
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