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Machine learning at the quantum lab

Artistic illustration of the potential landscape defined by voltages applied to nanostructures in order to trap single electrons in a quantum dot.

The electron spin of individual electrons in quantum dots could serve as the smallest information unit of a quantum computer. Scientists from the Universities of Oxford, Basel and Lancaster have developed an algorithm that can be used to measure quantum dots automatically. Writing in the Nature-family journal npj Quantum Information, they describe how they can speed up this hugely time-consuming process by a factor of four with the help of machine learning. Their approach to the automatic measurement and control of qubits therefore represents a key step toward their large-scale application.

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