A groundbreaking theoretical proof shows that a technique called overparametrization enhances performance in quantum machine learning for applications that stymie classical computers.
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A groundbreaking theoretical proof shows that a technique called overparametrization enhances performance in quantum machine learning for applications that stymie classical computers.