Programmable four-photon graph states on a silicon chip
Measurement-based quantum computing is one of the most promising approaches for photon-based universal quantum computation. Here, the authors realise a universal encoder of four-photon graph states on a silicon chip, and use Bayesian inference methods to characterise the error sources.
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2019-08-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-11489-y |
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doaj-5206eca222ac4a178f3b50403ebc765a2021-05-11T12:33:54ZengNature Publishing GroupNature Communications2041-17232019-08-011011610.1038/s41467-019-11489-yProgrammable four-photon graph states on a silicon chipJeremy C. Adcock0Caterina Vigliar1Raffaele Santagati2Joshua W. Silverstone3Mark G. Thompson4Quantum Engineering Technology (QET) Labs, H. H. Wills Physics Laboratory & School of Computer, Electronic Engineering & Engineering Mathematics, University of Bristol, Merchant Venturers BuildingQuantum Engineering Technology (QET) Labs, H. H. Wills Physics Laboratory & School of Computer, Electronic Engineering & Engineering Mathematics, University of Bristol, Merchant Venturers BuildingQuantum Engineering Technology (QET) Labs, H. H. Wills Physics Laboratory & School of Computer, Electronic Engineering & Engineering Mathematics, University of Bristol, Merchant Venturers BuildingQuantum Engineering Technology (QET) Labs, H. H. Wills Physics Laboratory & School of Computer, Electronic Engineering & Engineering Mathematics, University of Bristol, Merchant Venturers BuildingQuantum Engineering Technology (QET) Labs, H. H. Wills Physics Laboratory & School of Computer, Electronic Engineering & Engineering Mathematics, University of Bristol, Merchant Venturers BuildingMeasurement-based quantum computing is one of the most promising approaches for photon-based universal quantum computation. Here, the authors realise a universal encoder of four-photon graph states on a silicon chip, and use Bayesian inference methods to characterise the error sources.https://doi.org/10.1038/s41467-019-11489-y |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jeremy C. Adcock Caterina Vigliar Raffaele Santagati Joshua W. Silverstone Mark G. Thompson |
spellingShingle |
Jeremy C. Adcock Caterina Vigliar Raffaele Santagati Joshua W. Silverstone Mark G. Thompson Programmable four-photon graph states on a silicon chip Nature Communications |
author_facet |
Jeremy C. Adcock Caterina Vigliar Raffaele Santagati Joshua W. Silverstone Mark G. Thompson |
author_sort |
Jeremy C. Adcock |
title |
Programmable four-photon graph states on a silicon chip |
title_short |
Programmable four-photon graph states on a silicon chip |
title_full |
Programmable four-photon graph states on a silicon chip |
title_fullStr |
Programmable four-photon graph states on a silicon chip |
title_full_unstemmed |
Programmable four-photon graph states on a silicon chip |
title_sort |
programmable four-photon graph states on a silicon chip |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2019-08-01 |
description |
Measurement-based quantum computing is one of the most promising approaches for photon-based universal quantum computation. Here, the authors realise a universal encoder of four-photon graph states on a silicon chip, and use Bayesian inference methods to characterise the error sources. |
url |
https://doi.org/10.1038/s41467-019-11489-y |
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