Stopped and stationary light with cold atomic ensembles and machine learning

Ben Buchler; Jesse Everett; Young Wook Cho; Aaron Tranter; Harry Slatyer; Michael Hush; Karun Paul; Pierre Vernaz-Gris; Anthony Leung; Daniel Higginbottom; Ping Koy Lam; Geoff Campbell

doi:10.1364/CLEO_QELS.2018.FM1G.5

Stopped and stationary light with cold atomic ensembles and machine learning

Ben Buchler, Jesse Everett, Young Wook Cho, Aaron Tranter, Harry Slatyer, Michael Hush, Karun Paul, Pierre Vernaz-Gris, Anthony Leung, Daniel Higginbottom, Ping Koy Lam, Geoff Campbell

Department of Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Quantum information systems demand methods for the storage and manipulation of qubits. For optical qubits, atomic ensembles provide a potential platform for such operations. In this work, we demonstrate a stopped light optical quantum memory with efficiency up to 87%. We also demonstrate and visualise stationary light, which could potentially enhance weak optical nonlinearities. At the heart of our experiments is a laser-cooled atomic ensemble, which has recently been optimised with the help of a machine learning system that uses an artificial neural network.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	QELS_Fundamental Science, CLEO_QELS 2018
Publisher	OSA - The Optical Society
ISBN (Electronic)	9781557528209
DOIs	https://doi.org/10.1364/CLEO_QELS.2018.FM1G.5
Publication status	Published - 2018
Event	CLEO: QELS_Fundamental Science, CLEO_QELS 2018 - San Jose, United States Duration: 2018 May 13 → 2018 May 18

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F93-CLEO_QELS 2018

Other

Other	CLEO: QELS_Fundamental Science, CLEO_QELS 2018
Country/Territory	United States
City	San Jose
Period	18/5/13 → 18/5/18

Bibliographical note

Publisher Copyright:
© OSA 2018.

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

10.1364/CLEO_QELS.2018.FM1G.5

Cite this

Buchler, B., Everett, J., Cho, Y. W., Tranter, A., Slatyer, H., Hush, M., Paul, K., Vernaz-Gris, P., Leung, A., Higginbottom, D., Lam, P. K., & Campbell, G. (2018). Stopped and stationary light with cold atomic ensembles and machine learning. In CLEO: QELS_Fundamental Science, CLEO_QELS 2018 (Optics InfoBase Conference Papers; Vol. Part F93-CLEO_QELS 2018). OSA - The Optical Society. https://doi.org/10.1364/CLEO_QELS.2018.FM1G.5

@inproceedings{779ee98e634947d08ad88981f39e1b0e,

title = "Stopped and stationary light with cold atomic ensembles and machine learning",

abstract = "Quantum information systems demand methods for the storage and manipulation of qubits. For optical qubits, atomic ensembles provide a potential platform for such operations. In this work, we demonstrate a stopped light optical quantum memory with efficiency up to 87%. We also demonstrate and visualise stationary light, which could potentially enhance weak optical nonlinearities. At the heart of our experiments is a laser-cooled atomic ensemble, which has recently been optimised with the help of a machine learning system that uses an artificial neural network.",

author = "Ben Buchler and Jesse Everett and Cho, {Young Wook} and Aaron Tranter and Harry Slatyer and Michael Hush and Karun Paul and Pierre Vernaz-Gris and Anthony Leung and Daniel Higginbottom and Lam, {Ping Koy} and Geoff Campbell",

note = "Publisher Copyright: {\textcopyright} OSA 2018.; CLEO: QELS_Fundamental Science, CLEO_QELS 2018 ; Conference date: 13-05-2018 Through 18-05-2018",

year = "2018",

doi = "10.1364/CLEO_QELS.2018.FM1G.5",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "OSA - The Optical Society",

booktitle = "CLEO",

}

Buchler, B, Everett, J, Cho, YW, Tranter, A, Slatyer, H, Hush, M, Paul, K, Vernaz-Gris, P, Leung, A, Higginbottom, D, Lam, PK & Campbell, G 2018, Stopped and stationary light with cold atomic ensembles and machine learning. in CLEO: QELS_Fundamental Science, CLEO_QELS 2018. Optics InfoBase Conference Papers, vol. Part F93-CLEO_QELS 2018, OSA - The Optical Society, CLEO: QELS_Fundamental Science, CLEO_QELS 2018, San Jose, United States, 18/5/13. https://doi.org/10.1364/CLEO_QELS.2018.FM1G.5

TY - GEN

T1 - Stopped and stationary light with cold atomic ensembles and machine learning

AU - Buchler, Ben

AU - Everett, Jesse

AU - Cho, Young Wook

AU - Tranter, Aaron

AU - Slatyer, Harry

AU - Hush, Michael

AU - Paul, Karun

AU - Vernaz-Gris, Pierre

AU - Leung, Anthony

AU - Higginbottom, Daniel

AU - Lam, Ping Koy

AU - Campbell, Geoff

PY - 2018

Y1 - 2018

N2 - Quantum information systems demand methods for the storage and manipulation of qubits. For optical qubits, atomic ensembles provide a potential platform for such operations. In this work, we demonstrate a stopped light optical quantum memory with efficiency up to 87%. We also demonstrate and visualise stationary light, which could potentially enhance weak optical nonlinearities. At the heart of our experiments is a laser-cooled atomic ensemble, which has recently been optimised with the help of a machine learning system that uses an artificial neural network.

AB - Quantum information systems demand methods for the storage and manipulation of qubits. For optical qubits, atomic ensembles provide a potential platform for such operations. In this work, we demonstrate a stopped light optical quantum memory with efficiency up to 87%. We also demonstrate and visualise stationary light, which could potentially enhance weak optical nonlinearities. At the heart of our experiments is a laser-cooled atomic ensemble, which has recently been optimised with the help of a machine learning system that uses an artificial neural network.

UR - http://www.scopus.com/inward/record.url?scp=85048940250&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048940250&partnerID=8YFLogxK

U2 - 10.1364/CLEO_QELS.2018.FM1G.5

DO - 10.1364/CLEO_QELS.2018.FM1G.5

M3 - Conference contribution

AN - SCOPUS:85048940250

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - OSA - The Optical Society

T2 - CLEO: QELS_Fundamental Science, CLEO_QELS 2018

Y2 - 13 May 2018 through 18 May 2018

ER -

Stopped and stationary light with cold atomic ensembles and machine learning

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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