Autonomous Learning of High-Dimensional Coulomb Diamonds from Sparse Measurements

Automatic Estimation of High Dimensional Coulomb Diamonds Using Sparse Measurements

Each quantum dot in spin-based quantum processing is populated with exactly one electron. This requires that each gate voltage be carefully tuned to lie within the charge-stability area (the \”Coulomb Diamond”) associated the dot range. The authors developed a sparse-acquisition technique to learn the boundaries of the Coulomb diamonds from a few measurements. Hardware-triggered line search in the gate voltage space of a quadruple silicon dot. Smart search directions are proposed by an active learning algorithm.


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