Transport implementation of the Bernstein–Vazirani algorithm with ion qubits

Using trapped ion quantum bits in a scalable microfabricated surface trap, we perform the Bernstein–Vazirani algorithm. Our architecture takes advantage of the ion transport capabilities of such a trap. The algorithm is demonstrated using two- and three-ion chains. For three ions, an improvement is...

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Main Authors: S D Fallek, C D Herold, B J McMahon, K M Maller, K R Brown, J M Amini
Format: Article
Language:English
Published: IOP Publishing 2016-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/18/8/083030
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author S D Fallek
C D Herold
B J McMahon
K M Maller
K R Brown
J M Amini
author_facet S D Fallek
C D Herold
B J McMahon
K M Maller
K R Brown
J M Amini
author_sort S D Fallek
collection DOAJ
description Using trapped ion quantum bits in a scalable microfabricated surface trap, we perform the Bernstein–Vazirani algorithm. Our architecture takes advantage of the ion transport capabilities of such a trap. The algorithm is demonstrated using two- and three-ion chains. For three ions, an improvement is achieved compared to a classical system using the same number of oracle queries. For two ions and one query, we correctly determine an unknown bit string with probability 97.6(8)%. For three ions, we succeed with probability 80.9(3)%.
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spelling doaj.art-65ed9201d7cc4331ad1aee1a5262b9322023-08-08T14:32:14ZengIOP PublishingNew Journal of Physics1367-26302016-01-0118808303010.1088/1367-2630/18/8/083030Transport implementation of the Bernstein–Vazirani algorithm with ion qubitsS D Fallek0https://orcid.org/0000-0003-4703-9888C D Herold1https://orcid.org/0000-0003-1373-4145B J McMahon2K M Maller3K R Brown4J M Amini5Georgia Tech Research Institute , Atlanta, GA 30332, USAGeorgia Tech Research Institute , Atlanta, GA 30332, USAGeorgia Tech Research Institute , Atlanta, GA 30332, USAGeorgia Tech Research Institute , Atlanta, GA 30332, USASchool of Physics, Georgia Institute of Technology , Atlanta, GA 30332, USA; School of Chemistry and Biochemistry, Georgia Institute of Technology , Atlanta, GA 30332, USA; School of Computational Science and Engineering, Georgia Institute of Technology , Atlanta, GA 30332, USAGeorgia Tech Research Institute , Atlanta, GA 30332, USA; Current address: Department of Physics, University of Maryland, College Park, MD 20742, USAUsing trapped ion quantum bits in a scalable microfabricated surface trap, we perform the Bernstein–Vazirani algorithm. Our architecture takes advantage of the ion transport capabilities of such a trap. The algorithm is demonstrated using two- and three-ion chains. For three ions, an improvement is achieved compared to a classical system using the same number of oracle queries. For two ions and one query, we correctly determine an unknown bit string with probability 97.6(8)%. For three ions, we succeed with probability 80.9(3)%.https://doi.org/10.1088/1367-2630/18/8/083030quantum computingquantum controltrapped ionssurface–electrode trap03.67.Lx03.67.Bg
spellingShingle S D Fallek
C D Herold
B J McMahon
K M Maller
K R Brown
J M Amini
Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
New Journal of Physics
quantum computing
quantum control
trapped ions
surface–electrode trap
03.67.Lx
03.67.Bg
title Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
title_full Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
title_fullStr Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
title_full_unstemmed Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
title_short Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
title_sort transport implementation of the bernstein vazirani algorithm with ion qubits
topic quantum computing
quantum control
trapped ions
surface–electrode trap
03.67.Lx
03.67.Bg
url https://doi.org/10.1088/1367-2630/18/8/083030
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