2 papers
cond-mat.mes-hall2020
Evaluation of synthetic and experimental training data in supervised machine learning applied to charge state detection of quantum dots
Jana Darulova, Matthias Troyer, Maja C. Cassidy
Automated tuning of gate-defined quantum dots is a requirement for large scale semiconductor based qubit initialisation. An essential step of these tuning procedures is charge stat…
quant-ph2019
Autonomous tuning and charge state detection of gate defined quantum dots
J. Darulová, S. J. Pauka, N. Wiebe +5
Defining quantum dots in semiconductor based heterostructures is an essential step in initializing solid-state qubits. With growing device complexity and increasing number of funct…