Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
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Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays. / Krause, Oswin; Brovang, Bertram; Rasmussen, Torbjorn; Chatterjee, Anasua; Kuemmeth, Ferdinand.
In: Electronics, Vol. 11, No. 15, 2327, 27.07.2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
AU - Krause, Oswin
AU - Brovang, Bertram
AU - Rasmussen, Torbjorn
AU - Chatterjee, Anasua
AU - Kuemmeth, Ferdinand
PY - 2022/7/27
Y1 - 2022/7/27
N2 - 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. We present an algorithm that automatically discovers count, shape and size of the facets of a convex polytope from measurements by alternating a phase of model-fitting with a phase of querying new measurements, based on the fitted model. We evaluate the algorithm on simulated polytopes and devices, as well as a real 2 x 2 spin qubit array. Results show that we can reliably find the facets of the convex polytopes, including small facets with sizes on the order of the measurement precision.
AB - 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. We present an algorithm that automatically discovers count, shape and size of the facets of a convex polytope from measurements by alternating a phase of model-fitting with a phase of querying new measurements, based on the fitted model. We evaluate the algorithm on simulated polytopes and devices, as well as a real 2 x 2 spin qubit array. Results show that we can reliably find the facets of the convex polytopes, including small facets with sizes on the order of the measurement precision.
KW - quantum dot arrays
KW - large margin
KW - convex polytopes
KW - polytope estimation
KW - active learning
U2 - 10.3390/electronics11152327
DO - 10.3390/electronics11152327
M3 - Journal article
VL - 11
JO - Electronics
JF - Electronics
SN - 1450-5843
IS - 15
M1 - 2327
ER -
ID: 317438363