Scalable loading of a two-dimensional trapped-ion array

Two-dimensional arrays of trapped-ion qubits are attractive platforms for scalable quantum information processing. Sufficiently rapid reloading capable of sustaining a large array, however, remains a significant challenge. Here with the use of a continuous flux of pre-cooled neutral atoms from a rem...

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Main Authors: Bruzewicz, Colin D., McConnell, Robert P., Chiaverini, John, Sage, Jeremy M.
Other Authors: Lincoln Laboratory
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/108569
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author Bruzewicz, Colin D.
McConnell, Robert P.
Chiaverini, John
Sage, Jeremy M.
author2 Lincoln Laboratory
author_facet Lincoln Laboratory
Bruzewicz, Colin D.
McConnell, Robert P.
Chiaverini, John
Sage, Jeremy M.
author_sort Bruzewicz, Colin D.
collection MIT
description Two-dimensional arrays of trapped-ion qubits are attractive platforms for scalable quantum information processing. Sufficiently rapid reloading capable of sustaining a large array, however, remains a significant challenge. Here with the use of a continuous flux of pre-cooled neutral atoms from a remotely located source, we achieve fast loading of a single ion per site while maintaining long trap lifetimes and without disturbing the coherence of an ion quantum bit in an adjacent site. This demonstration satisfies all major criteria necessary for loading and reloading extensive two-dimensional arrays, as will be required for large-scale quantum information processing. Moreover, the already high loading rate can be increased by loading ions in parallel with only a concomitant increase in photo-ionization laser power and no need for additional atomic flux.
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spelling mit-1721.1/1085692022-09-30T01:28:52Z Scalable loading of a two-dimensional trapped-ion array Bruzewicz, Colin D. McConnell, Robert P. Chiaverini, John Sage, Jeremy M. Lincoln Laboratory Bruzewicz, Colin D. McConnell, Robert P. Chiaverini, John Sage, Jeremy M. Two-dimensional arrays of trapped-ion qubits are attractive platforms for scalable quantum information processing. Sufficiently rapid reloading capable of sustaining a large array, however, remains a significant challenge. Here with the use of a continuous flux of pre-cooled neutral atoms from a remotely located source, we achieve fast loading of a single ion per site while maintaining long trap lifetimes and without disturbing the coherence of an ion quantum bit in an adjacent site. This demonstration satisfies all major criteria necessary for loading and reloading extensive two-dimensional arrays, as will be required for large-scale quantum information processing. Moreover, the already high loading rate can be increased by loading ions in parallel with only a concomitant increase in photo-ionization laser power and no need for additional atomic flux. Office of the Assistant Secretary of Defense for Research and Engineering (United States. Air Force. Contract FA8721-05-C-0002) 2017-05-02T14:11:06Z 2017-05-02T14:11:06Z 2016-09 2016-03 Article http://purl.org/eprint/type/JournalArticle 2041-1723 http://hdl.handle.net/1721.1/108569 Bruzewicz, Colin D. et al. “Scalable Loading of a Two-Dimensional Trapped-Ion Array.” Nature Communications 7 (2016): 13005. en_US http://dx.doi.org/10.1038/ncomms13005 Nature Communications Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature
spellingShingle Bruzewicz, Colin D.
McConnell, Robert P.
Chiaverini, John
Sage, Jeremy M.
Scalable loading of a two-dimensional trapped-ion array
title Scalable loading of a two-dimensional trapped-ion array
title_full Scalable loading of a two-dimensional trapped-ion array
title_fullStr Scalable loading of a two-dimensional trapped-ion array
title_full_unstemmed Scalable loading of a two-dimensional trapped-ion array
title_short Scalable loading of a two-dimensional trapped-ion array
title_sort scalable loading of a two dimensional trapped ion array
url http://hdl.handle.net/1721.1/108569
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