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Optimally combining dynamical decoupling and quantum error correction

Quantum control and fault-tolerant quantum computing (FTQC) are two of the cornerstones on which the hope of realizing a large-scale quantum computer is pinned, yet only preliminary steps have been taken towards formalizing the interplay between them. Here we explore this interplay using the powerfu...

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Detalles Bibliográficos
Autores principales: Paz-Silva, Gerardo A., Lidar, D. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617433/
https://www.ncbi.nlm.nih.gov/pubmed/23559088
http://dx.doi.org/10.1038/srep01530
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author Paz-Silva, Gerardo A.
Lidar, D. A.
author_facet Paz-Silva, Gerardo A.
Lidar, D. A.
author_sort Paz-Silva, Gerardo A.
collection PubMed
description Quantum control and fault-tolerant quantum computing (FTQC) are two of the cornerstones on which the hope of realizing a large-scale quantum computer is pinned, yet only preliminary steps have been taken towards formalizing the interplay between them. Here we explore this interplay using the powerful strategy of dynamical decoupling (DD), and show how it can be seamlessly and optimally integrated with FTQC. To this end we show how to find the optimal decoupling generator set (DGS) for various subspaces relevant to FTQC, and how to simultaneously decouple them. We focus on stabilizer codes, which represent the largest contribution to the size of the DGS, showing that the intuitive choice comprising the stabilizers and logical operators of the code is in fact optimal, i.e., minimizes a natural cost function associated with the length of DD sequences. Our work brings hybrid DD-FTQC schemes, and their potentially considerable advantages, closer to realization.
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spelling pubmed-36174332013-04-05 Optimally combining dynamical decoupling and quantum error correction Paz-Silva, Gerardo A. Lidar, D. A. Sci Rep Article Quantum control and fault-tolerant quantum computing (FTQC) are two of the cornerstones on which the hope of realizing a large-scale quantum computer is pinned, yet only preliminary steps have been taken towards formalizing the interplay between them. Here we explore this interplay using the powerful strategy of dynamical decoupling (DD), and show how it can be seamlessly and optimally integrated with FTQC. To this end we show how to find the optimal decoupling generator set (DGS) for various subspaces relevant to FTQC, and how to simultaneously decouple them. We focus on stabilizer codes, which represent the largest contribution to the size of the DGS, showing that the intuitive choice comprising the stabilizers and logical operators of the code is in fact optimal, i.e., minimizes a natural cost function associated with the length of DD sequences. Our work brings hybrid DD-FTQC schemes, and their potentially considerable advantages, closer to realization. Nature Publishing Group 2013-04-05 /pmc/articles/PMC3617433/ /pubmed/23559088 http://dx.doi.org/10.1038/srep01530 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Paz-Silva, Gerardo A.
Lidar, D. A.
Optimally combining dynamical decoupling and quantum error correction
title Optimally combining dynamical decoupling and quantum error correction
title_full Optimally combining dynamical decoupling and quantum error correction
title_fullStr Optimally combining dynamical decoupling and quantum error correction
title_full_unstemmed Optimally combining dynamical decoupling and quantum error correction
title_short Optimally combining dynamical decoupling and quantum error correction
title_sort optimally combining dynamical decoupling and quantum error correction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617433/
https://www.ncbi.nlm.nih.gov/pubmed/23559088
http://dx.doi.org/10.1038/srep01530
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