Quantum device fine-tuning using unsupervised embedding learning
NEW JOURNAL OF PHYSICS, pp. 0950032020.
Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the complex dependence of these parameters on applied gate voltages. We experimentally demonstrate an algorithm capable of fine-tuning several device parameters at once. The algorithm acqui...More
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