Autonomous Estimation of High-Dimensional Coulomb Diamonds from Sparse Measurements
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- PhysRevApplied.18.064040
Forlagets udgivne version, 2,95 MB, PDF-dokument
Quantum dot arrays possess ground states governed by Coulomb energies, utilized prominently by singly occupied quantum dots, each implementing a spin qubit. For such quantum processors, the con-trolled transitions between ground states are of operational significance, as these allow the control of quantum information within the array such as qubit initialization and entangling gates. For few-dot arrays, ground states are traditionally mapped out by performing dense raster-scan measurements in control -voltage space. These become impractical for larger arrays due to the large number of measurements needed to sample the high-dimensional gate-voltage hypercube and the comparatively little information extracted. We develop a hardware-triggered detection method based on reflectometry, to acquire measure-ments directly corresponding to transitions between ground states. These measurements are distributed sparsely within the high-dimensional voltage space by executing line searches proposed by a learning algorithm. Our autonomous software-hardware algorithm accurately estimates the polytope of Coulomb blockade boundaries, experimentally demonstrated in a 2 x 2 array of silicon quantum dots.
Originalsprog | Engelsk |
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Artikelnummer | 064040 |
Tidsskrift | Physical Review Applied |
Vol/bind | 18 |
Udgave nummer | 6 |
Antal sider | 10 |
ISSN | 2331-7019 |
DOI | |
Status | Udgivet - 14 dec. 2022 |
Links
- https://arxiv.org/pdf/2108.10656.pdf
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