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Boson sampling on a photonic chip

Boson sampling on a photonic chip
Boson sampling on a photonic chip
While universal quantum computers ideally solve problems such as factoring integers exponentially more efficiently than classical machines, the formidable challenges in building such devices motivate the demonstration of simpler, problem-specific algorithms that still promise a quantum speedup. We construct a quantum boson sampling machine (QBSM) to sample the output distribution resulting from the nonclassical interference of photons in an integrated photonic circuit, a problem thought to be exponentially hard to solve classically. Unlike universal quantum computation, boson sampling merely requires indistinguishable photons, linear state evolution, and detectors. We benchmark our QBSM with three and four photons and analyze sources of sampling inaccuracy. Scaling up to larger devices could offer the first definitive quantum-enhanced computation.
0036-8075
798-801
Spring, Justin B.
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Metcalf, Benjamin J.
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Humphreys, Peter C.
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Kolthammer, W.Steven
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Jin, Xian-Min
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Barbieri, Marco
ed77e1c5-6b04-4b0d-a145-6bfe989556b2
Datta, Aanimesh
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Thomas-Peter, Nicholas
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Langford, Nathan K.
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Kundys, Dmytro
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Gates, James C.
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Smith, Brian J.
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Smith, Peter G.R.
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Walmsley, Ian A.
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Spring, Justin B.
daf7635a-8c7f-441a-a1bf-52d04b584806
Metcalf, Benjamin J.
9e0aa2db-b894-43b8-add4-4d31ec09f3af
Humphreys, Peter C.
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Kolthammer, W.Steven
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Jin, Xian-Min
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Barbieri, Marco
ed77e1c5-6b04-4b0d-a145-6bfe989556b2
Datta, Aanimesh
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Thomas-Peter, Nicholas
768fa7c7-6937-49d6-a150-ab1859bb77cb
Langford, Nathan K.
083085ed-1d96-4e99-a1d7-93ae584091c7
Kundys, Dmytro
c6bf92f9-9b7f-4541-a140-56dc800bfc7a
Gates, James C.
b71e31a1-8caa-477e-8556-b64f6cae0dc2
Smith, Brian J.
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Smith, Peter G.R.
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Walmsley, Ian A.
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Spring, Justin B., Metcalf, Benjamin J., Humphreys, Peter C., Kolthammer, W.Steven, Jin, Xian-Min, Barbieri, Marco, Datta, Aanimesh, Thomas-Peter, Nicholas, Langford, Nathan K., Kundys, Dmytro, Gates, James C., Smith, Brian J., Smith, Peter G.R. and Walmsley, Ian A. (2012) Boson sampling on a photonic chip. Science, 339 (6121), 798-801. (doi:10.1126/science.1231692).

Record type: Article

Abstract

While universal quantum computers ideally solve problems such as factoring integers exponentially more efficiently than classical machines, the formidable challenges in building such devices motivate the demonstration of simpler, problem-specific algorithms that still promise a quantum speedup. We construct a quantum boson sampling machine (QBSM) to sample the output distribution resulting from the nonclassical interference of photons in an integrated photonic circuit, a problem thought to be exponentially hard to solve classically. Unlike universal quantum computation, boson sampling merely requires indistinguishable photons, linear state evolution, and detectors. We benchmark our QBSM with three and four photons and analyze sources of sampling inaccuracy. Scaling up to larger devices could offer the first definitive quantum-enhanced computation.

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More information

Published date: 20 December 2012
Organisations: Optoelectronics Research Centre, Electronics & Computer Science

Identifiers

Local EPrints ID: 347643
URI: https://eprints.soton.ac.uk/id/eprint/347643
ISSN: 0036-8075
PURE UUID: 878fbf63-9eba-42bf-ba18-654c37d81a04
ORCID for James C. Gates: ORCID iD orcid.org/0000-0001-8671-5987

Catalogue record

Date deposited: 30 Jan 2013 11:08
Last modified: 17 Sep 2019 01:01

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