Prediction and real-time compensation of qubit decoherence via machine learning

Control engineering techniques are promising for realizing stable quantum systems to counter their extreme fragility. Here the authors use techniques from machine learning to enable real-time feedback suppression of decoherence in a trapped ion qubit by predicting its future stochastic evolution.

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Autores principales:	Sandeep Mavadia, Virginia Frey, Jarrah Sastrawan, Stephen Dona, Michael J. Biercuk
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/54fb8f67b9664aab884a9c4affc37390
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spelling	oai:doaj.org-article:54fb8f67b9664aab884a9c4affc373902021-12-02T15:38:56ZPrediction and real-time compensation of qubit decoherence via machine learning10.1038/ncomms141062041-1723https://doaj.org/article/54fb8f67b9664aab884a9c4affc373902017-01-01T00:00:00Zhttps://doi.org/10.1038/ncomms14106https://doaj.org/toc/2041-1723Control engineering techniques are promising for realizing stable quantum systems to counter their extreme fragility. Here the authors use techniques from machine learning to enable real-time feedback suppression of decoherence in a trapped ion qubit by predicting its future stochastic evolution.Sandeep MavadiaVirginia FreyJarrah SastrawanStephen DonaMichael J. BiercukNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-6 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sandeep Mavadia Virginia Frey Jarrah Sastrawan Stephen Dona Michael J. Biercuk Prediction and real-time compensation of qubit decoherence via machine learning
description	Control engineering techniques are promising for realizing stable quantum systems to counter their extreme fragility. Here the authors use techniques from machine learning to enable real-time feedback suppression of decoherence in a trapped ion qubit by predicting its future stochastic evolution.
format	article
author	Sandeep Mavadia Virginia Frey Jarrah Sastrawan Stephen Dona Michael J. Biercuk
author_facet	Sandeep Mavadia Virginia Frey Jarrah Sastrawan Stephen Dona Michael J. Biercuk
author_sort	Sandeep Mavadia
title	Prediction and real-time compensation of qubit decoherence via machine learning
title_short	Prediction and real-time compensation of qubit decoherence via machine learning
title_full	Prediction and real-time compensation of qubit decoherence via machine learning
title_fullStr	Prediction and real-time compensation of qubit decoherence via machine learning
title_full_unstemmed	Prediction and real-time compensation of qubit decoherence via machine learning
title_sort	prediction and real-time compensation of qubit decoherence via machine learning
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/54fb8f67b9664aab884a9c4affc37390
work_keys_str_mv	AT sandeepmavadia predictionandrealtimecompensationofqubitdecoherenceviamachinelearning AT virginiafrey predictionandrealtimecompensationofqubitdecoherenceviamachinelearning AT jarrahsastrawan predictionandrealtimecompensationofqubitdecoherenceviamachinelearning AT stephendona predictionandrealtimecompensationofqubitdecoherenceviamachinelearning AT michaeljbiercuk predictionandrealtimecompensationofqubitdecoherenceviamachinelearning
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Prediction and real-time compensation of qubit decoherence via machine learning

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