000909945 001__ 909945
000909945 005__ 20250129092359.0
000909945 0247_ $$2doi$$a10.1109/TQE.2022.3165968
000909945 0247_ $$2Handle$$a2128/31975
000909945 0247_ $$2WOS$$aWOS:001369115500050
000909945 037__ $$aFZJ-2022-03539
000909945 041__ $$aEnglish
000909945 082__ $$a621.3
000909945 1001_ $$0P:(DE-Juel1)173094$$aFleitmann, Sarah$$b0$$eCorresponding author$$ufzj
000909945 245__ $$aNoise Reduction Methods for Charge Stability Diagrams of Double Quantum Dots
000909945 260__ $$aNew York, NY$$bIEEE$$c2022
000909945 3367_ $$2DRIVER$$aarticle
000909945 3367_ $$2DataCite$$aOutput Types/Journal article
000909945 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1664526942_635
000909945 3367_ $$2BibTeX$$aARTICLE
000909945 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000909945 3367_ $$00$$2EndNote$$aJournal Article
000909945 520__ $$aOperating semiconductor quantum dots as quantum bits requires isolating single electrons by adjusting gate voltages. The transitions of electrons to and from the dots appear as a honeycomb-like pattern in recorded charge stability diagrams (CSDs). Thus, detecting the pattern is essential to tune a double dot, but manual tuning is seriously time-consuming. However, automation of this process is difficult because the transitions’ contrast is often low, and noise and background disorder potential shifts disturb the CSDs. Therefore, the signal-to-noise ratio needs to be increased to improve the detection of the line pattern. For this purpose, we evaluate a representative set of edge-preserving smoothing filters and compare them both quantitatively and qualitatively by suitable metrics and visual assessment. We generate artificial data to use full-reference metrics for the evaluation procedure and to optimize the filter parameters. Based on the results of this article, the methods attain a moderate to good amount of noise reduction and structure improvement dependent on the different CSD qualities. In conclusion, we suggest introducing the block-matching and three-dimensional transform-domain filter into the automated tuning processing pipeline. If the data are corrupted by significant amounts of random telegraph noise, the bilateral filter and the rolling guidance filter are also good choices.
000909945 536__ $$0G:(DE-HGF)POF4-5223$$a5223 - Quantum-Computer Control Systems and Cryoelectronics (POF4-522)$$cPOF4-522$$fPOF IV$$x0
000909945 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000909945 7001_ $$0P:(DE-Juel1)170099$$aHader, Fabian$$b1
000909945 7001_ $$0P:(DE-Juel1)133952$$aVogelbruch, Jan$$b2
000909945 7001_ $$0P:(DE-Juel1)172767$$aHumpohl, Simon$$b3$$ufzj
000909945 7001_ $$00000-0002-5177-6162$$aHangleiter, Tobias$$b4
000909945 7001_ $$0P:(DE-Juel1)7756$$aMeyer, Stefanie$$b5$$ufzj
000909945 7001_ $$0P:(DE-Juel1)142562$$avan Waasen, Stefan$$b6
000909945 773__ $$0PERI:(DE-600)3035782-2$$a10.1109/TQE.2022.3165968$$gVol. 3, p. 1 - 19$$p2689-1808 $$tIEEE transactions on quantum engineering$$v3$$x2689-1808$$y2022
000909945 8564_ $$uhttps://juser.fz-juelich.de/record/909945/files/Noise%20Reduction%20Methods%20for%20Charge%20Stability%20Diagrams%20of%20Double%20Quantum%20Dots.pdf$$yOpenAccess
000909945 8767_ $$d2023-05-31$$eAPC$$jPublish and Read$$zToken
000909945 909CO $$ooai:juser.fz-juelich.de:909945$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173094$$aForschungszentrum Jülich$$b0$$kFZJ
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170099$$aForschungszentrum Jülich$$b1$$kFZJ
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)133952$$aForschungszentrum Jülich$$b2$$kFZJ
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172767$$aForschungszentrum Jülich$$b3$$kFZJ
000909945 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172767$$aRWTH Aachen$$b3$$kRWTH
000909945 9101_ $$0I:(DE-588b)36225-6$$60000-0002-5177-6162$$aRWTH Aachen$$b4$$kRWTH
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)7756$$aForschungszentrum Jülich$$b5$$kFZJ
000909945 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142562$$aForschungszentrum Jülich$$b6$$kFZJ
000909945 9131_ $$0G:(DE-HGF)POF4-522$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5223$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vQuantum Computing$$x0
000909945 9141_ $$y2022
000909945 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000909945 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000909945 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-10
000909945 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-03-08T17:02:16Z
000909945 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-03-08T17:02:16Z
000909945 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2021-03-08T17:02:16Z
000909945 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000909945 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000909945 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000909945 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000909945 920__ $$lyes
000909945 9201_ $$0I:(DE-Juel1)ZEA-2-20090406$$kZEA-2$$lZentralinstitut für Elektronik$$x0
000909945 9801_ $$aFullTexts
000909945 980__ $$ajournal
000909945 980__ $$aVDB
000909945 980__ $$aUNRESTRICTED
000909945 980__ $$aI:(DE-Juel1)ZEA-2-20090406
000909945 980__ $$aAPC
000909945 981__ $$aI:(DE-Juel1)PGI-4-20110106