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Electrically tuneable network learns fast

A team of researchers at the University of Twente in the Netherlands has employed deep learning – a form of artificial intelligence, or AI – to optimize the structure of nanoelectronics devices for the first time. According to team leader Wilfred Van der Wiel, the same method could also be used to tune quantum dot systems for quantum computing and should be generally applicable to other large-scale physical systems for which many control parameters are likewise unavailable.

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