Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
Machine Learning
2022-10-19 v2 Mesoscale and Nanoscale Physics
Abstract
In spin based quantum dot arrays, material or fabrication imprecisions affect the behaviour of the device, which must be taken into account when controlling it. This requires measuring the shape of specific convex polytopes. In this work, we present an algorithm that automatically discovers count, shape and size of the facets of a convex polytope from measurements. Results on simulated devices as well as a real 2x2 spin qubit array show that we can reliably find the facets of the convex polytopes, including small facets with sizes on the order of the measurement precision.
Keywords
Cite
@article{arxiv.2108.09133,
title = {Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays},
author = {Oswin Krause and Torbjørn Rasmussen and Bertram Brovang and Anasua Chatterjee and Ferdinand Kuemmeth},
journal= {arXiv preprint arXiv:2108.09133},
year = {2022}
}