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Programmable four-photon graph states on a silicon chip

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Programmable four-photon graph states on a silicon chip. / Adcock, Jeremy C.; Vigliar, Caterina; Santagati, Raffaele; Silverstone, Joshua W.; Thompson, Mark G.

In: Nature Communications, Vol. 10, 3528 (2019), 06.08.2019.

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@article{f3eeb47017424090b9ab9eb0ac2c9baf,
title = "Programmable four-photon graph states on a silicon chip",
abstract = "Future quantum computers require a scalable architecture on a scalable technology—one that supports millions of high-performance components. Measurement-based protocols, using graph states, represent the state of the art in architectures for optical quantum computing. Silicon photonics technology offers enormous scale and proven quantum optical functionality. Here we produce and encode photonic graph states on a mass-manufactured chip, using four on-chip-generated photons. We programmably generate all types of four-photon graph state, implementing a basic measurement-based protocol, and measure high-visibility heralded interference of the chip’s four photons. We develop a model of the device and bound the dominant sources of error using Bayesian inference. The combination of measurement-based quantum computation, silicon photonics technology, and on-chip multi-pair sources will be a useful one for future scalable quantum information processing with photons.",
author = "Adcock, {Jeremy C.} and Caterina Vigliar and Raffaele Santagati and Silverstone, {Joshua W.} and Thompson, {Mark G.}",
year = "2019",
month = "8",
day = "6",
doi = "10.1038/s41467-019-11489-y",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Springer Nature",

}

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TY - JOUR

T1 - Programmable four-photon graph states on a silicon chip

AU - Adcock, Jeremy C.

AU - Vigliar, Caterina

AU - Santagati, Raffaele

AU - Silverstone, Joshua W.

AU - Thompson, Mark G.

PY - 2019/8/6

Y1 - 2019/8/6

N2 - Future quantum computers require a scalable architecture on a scalable technology—one that supports millions of high-performance components. Measurement-based protocols, using graph states, represent the state of the art in architectures for optical quantum computing. Silicon photonics technology offers enormous scale and proven quantum optical functionality. Here we produce and encode photonic graph states on a mass-manufactured chip, using four on-chip-generated photons. We programmably generate all types of four-photon graph state, implementing a basic measurement-based protocol, and measure high-visibility heralded interference of the chip’s four photons. We develop a model of the device and bound the dominant sources of error using Bayesian inference. The combination of measurement-based quantum computation, silicon photonics technology, and on-chip multi-pair sources will be a useful one for future scalable quantum information processing with photons.

AB - Future quantum computers require a scalable architecture on a scalable technology—one that supports millions of high-performance components. Measurement-based protocols, using graph states, represent the state of the art in architectures for optical quantum computing. Silicon photonics technology offers enormous scale and proven quantum optical functionality. Here we produce and encode photonic graph states on a mass-manufactured chip, using four on-chip-generated photons. We programmably generate all types of four-photon graph state, implementing a basic measurement-based protocol, and measure high-visibility heralded interference of the chip’s four photons. We develop a model of the device and bound the dominant sources of error using Bayesian inference. The combination of measurement-based quantum computation, silicon photonics technology, and on-chip multi-pair sources will be a useful one for future scalable quantum information processing with photons.

UR - http://www.scopus.com/inward/record.url?scp=85070337634&partnerID=8YFLogxK

U2 - 10.1038/s41467-019-11489-y

DO - 10.1038/s41467-019-11489-y

M3 - Article

C2 - 31388017

VL - 10

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 3528 (2019)

ER -