Machine Learning Helps Tune, Characterize Quantum Dots Quickly
OXFORD, England, and BASEL, Switzerland, Sept. 27, 2019 — Using a machine-learning approach, scientists from the Universities of Oxford, Basel, and Lancaster are automating the process of characterizing and tuning individual semiconductor quantum dots (QDs) for use as qubits. This machine-learning approach to tuning could reduce the measuring time and the number of measurements by a factor of approximately four compared with conventional methods of data acquisition. Semiconductor QDs are not identical and must be characterized