Efficiently measuring a quantum device using machine learning

Natalia Ares and co-workers writing in Nature npj Quantum Information describe how they can massively speed up the hugely time-consuming process of characterising and tuning individual quantum devices with the help of machine learning. The researchers from the Universities of Oxford, in collaboration with University of Basel and Lancaster University, have developed an algorithm that can be used to measure quantum dots automatically, therefore paving the way for characterisation of larger arrays of quantum dot qubits for quantum computing devices.

Also see Oxford University News and MPLS Divisional News and a related article on WIRED concerning a 53 qubit quantum computer developed by Google.