Online adaptive quantum characterization of a nuclear spin
Abstract The characterization of quantum systems is both a theoretical and technical challenge. Theoretical because of the exponentially increasing complexity with system size and the fragility of quantum states under observation. Technical because of the requirement to manipulate and read out indiv...
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Nature Portfolio
2021
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oai:doaj.org-article:b5acc79d4f384dd7a78520a950869a362021-12-02T14:17:32ZOnline adaptive quantum characterization of a nuclear spin10.1038/s41534-021-00389-z2056-6387https://doaj.org/article/b5acc79d4f384dd7a78520a950869a362021-04-01T00:00:00Zhttps://doi.org/10.1038/s41534-021-00389-zhttps://doaj.org/toc/2056-6387Abstract The characterization of quantum systems is both a theoretical and technical challenge. Theoretical because of the exponentially increasing complexity with system size and the fragility of quantum states under observation. Technical because of the requirement to manipulate and read out individual atomic or photonic elements. Adaptive methods can help to overcome these challenges by optimizing the amount of information each measurement provides and reducing the necessary resources. Their implementation, however, requires fast-feedback and complex processing algorithms. Here, we implement online adaptive sensing with single spins and demonstrate close to photon shot noise limited performance with high repetition rate, including experimental overheads. We further use fast feedback to determine the hyperfine coupling of a nuclear spin to the nitrogen-vacancy sensor with a sensitivity of $$445\,{\mathrm{nT}}{\sqrt{\mathrm{Hz}}}^{- 1}$$ 445 nT Hz − 1 . Our experiment is a proof of concept that online adaptive techniques can be a versatile tool to enable faster characterization of the spin environment.Timo JoasSimon SchmittRaffaele SantagatiAntonio Andrea GentileCristian BonatoAnthony LaingLiam P. McGuinnessFedor JelezkoNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-8 (2021) |
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DOAJ |
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EN |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 Timo Joas Simon Schmitt Raffaele Santagati Antonio Andrea Gentile Cristian Bonato Anthony Laing Liam P. McGuinness Fedor Jelezko Online adaptive quantum characterization of a nuclear spin |
| description |
Abstract The characterization of quantum systems is both a theoretical and technical challenge. Theoretical because of the exponentially increasing complexity with system size and the fragility of quantum states under observation. Technical because of the requirement to manipulate and read out individual atomic or photonic elements. Adaptive methods can help to overcome these challenges by optimizing the amount of information each measurement provides and reducing the necessary resources. Their implementation, however, requires fast-feedback and complex processing algorithms. Here, we implement online adaptive sensing with single spins and demonstrate close to photon shot noise limited performance with high repetition rate, including experimental overheads. We further use fast feedback to determine the hyperfine coupling of a nuclear spin to the nitrogen-vacancy sensor with a sensitivity of $$445\,{\mathrm{nT}}{\sqrt{\mathrm{Hz}}}^{- 1}$$ 445 nT Hz − 1 . Our experiment is a proof of concept that online adaptive techniques can be a versatile tool to enable faster characterization of the spin environment. |
| format |
article |
| author |
Timo Joas Simon Schmitt Raffaele Santagati Antonio Andrea Gentile Cristian Bonato Anthony Laing Liam P. McGuinness Fedor Jelezko |
| author_facet |
Timo Joas Simon Schmitt Raffaele Santagati Antonio Andrea Gentile Cristian Bonato Anthony Laing Liam P. McGuinness Fedor Jelezko |
| author_sort |
Timo Joas |
| title |
Online adaptive quantum characterization of a nuclear spin |
| title_short |
Online adaptive quantum characterization of a nuclear spin |
| title_full |
Online adaptive quantum characterization of a nuclear spin |
| title_fullStr |
Online adaptive quantum characterization of a nuclear spin |
| title_full_unstemmed |
Online adaptive quantum characterization of a nuclear spin |
| title_sort |
online adaptive quantum characterization of a nuclear spin |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/b5acc79d4f384dd7a78520a950869a36 |
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