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Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2017 Conference on Lasers and Electro-Optics (CLEO)
Subtitle of host publicationProceedings of a meeting held 16-18 May 2017, San Jose, California, USA
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781943580279
DOIs
DateAccepted/In press - 1 Mar 2017
DatePublished (current) - 14 May 2017
Event2017 Conference on Lasers and Electro-Optics, CLEO - San Jose Convention Center, San Jose, CA, United States
Duration: 14 May 201719 May 2017

Conference

Conference2017 Conference on Lasers and Electro-Optics, CLEO
Abbreviated titleCLEO 2017
CountryUnited States
CitySan Jose, CA
Period14/05/1719/05/17

Abstract

We report the learning of electron spin Hamiltonian in a diamond nitrogen-vacancy centre using a silicon-photonics quantum simulator with classical machine learning, showing a new ability of efficient characterisation and verification of quantum devices/systems.

    Structured keywords

  • Bristol Quantum Information Institute

Event

2017 Conference on Lasers and Electro-Optics, CLEO

Abbreviated titleCLEO 2017
Duration14 May 201719 May 2017
Location of eventSan Jose Convention Center
CitySan Jose, CA
CountryUnited States
Degree of recognitionInternational event

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via OSA at https://www.osapublishing.org/abstract.cfm?uri=CLEO_QELS-2017-FTu1F.5. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3 MB, PDF document

DOI

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