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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
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


Conference2017 Conference on Lasers and Electro-Optics, CLEO
Abbreviated titleCLEO 2017
CountryUnited States
CitySan Jose, CA


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


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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  • 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 Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3 MB, PDF document


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