QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Published: October 17, 2018


Justyna P. Zwolak, Sandesh Kalantre, Xingyao Wu, Stephen Ragole, Jacob M. Taylor
Citation: PLoS One
Volume: 13
Issue: 10
Pub Type: Journals


machine learning, dataset, convolutional neural networks, software, quantum dots
Created October 17, 2018, Updated November 10, 2018