Robust manipulation of superconducting qubits in the presence of fluctuations

Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations, and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-base...

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Detalles Bibliográficos
Autores principales: Dong, Daoyi, Chen, Chunlin, Qi, Bo, Petersen, Ian R., Nori, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297962/
https://www.ncbi.nlm.nih.gov/pubmed/25598529
http://dx.doi.org/10.1038/srep07873
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author Dong, Daoyi
Chen, Chunlin
Qi, Bo
Petersen, Ian R.
Nori, Franco
author_facet Dong, Daoyi
Chen, Chunlin
Qi, Bo
Petersen, Ian R.
Nori, Franco
author_sort Dong, Daoyi
collection PubMed
description Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations, and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-based learning control (SLC) method is used to guide the design of control fields for manipulating superconducting quantum systems. Numerical results for one-qubit systems and coupled two-qubit systems show that the “smart” fields learned using the SLC method can achieve robust manipulation of superconducting qubits, even in the presence of large fluctuations and inaccuracies.
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spelling pubmed-42979622015-01-26 Robust manipulation of superconducting qubits in the presence of fluctuations Dong, Daoyi Chen, Chunlin Qi, Bo Petersen, Ian R. Nori, Franco Sci Rep Article Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations, and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-based learning control (SLC) method is used to guide the design of control fields for manipulating superconducting quantum systems. Numerical results for one-qubit systems and coupled two-qubit systems show that the “smart” fields learned using the SLC method can achieve robust manipulation of superconducting qubits, even in the presence of large fluctuations and inaccuracies. Nature Publishing Group 2015-01-19 /pmc/articles/PMC4297962/ /pubmed/25598529 http://dx.doi.org/10.1038/srep07873 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Article
Dong, Daoyi
Chen, Chunlin
Qi, Bo
Petersen, Ian R.
Nori, Franco
Robust manipulation of superconducting qubits in the presence of fluctuations
title Robust manipulation of superconducting qubits in the presence of fluctuations
title_full Robust manipulation of superconducting qubits in the presence of fluctuations
title_fullStr Robust manipulation of superconducting qubits in the presence of fluctuations
title_full_unstemmed Robust manipulation of superconducting qubits in the presence of fluctuations
title_short Robust manipulation of superconducting qubits in the presence of fluctuations
title_sort robust manipulation of superconducting qubits in the presence of fluctuations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4297962/
https://www.ncbi.nlm.nih.gov/pubmed/25598529
http://dx.doi.org/10.1038/srep07873
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