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

  • J. Wang
  • , S. Paesani
  • , R. Santagati
  • , S. Knauer
  • , A. A. Gentile
  • , N. Wiebe
  • , M. Petruzzella
  • , A. Laing
  • , J. G. Rarity
  • , J. L. O'Brien
  • , M. G. Thompson

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.

Original languageEnglish
Title of host publication2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-2
Number of pages2
ISBN (Electronic)9781943580279
ISBN (Print)9781943580279
DOIs
Publication statusPublished - 25 Oct 2017
Externally publishedYes
Event2017 Conference on Lasers and Electro-Optics, CLEO 2017 - San Jose, United States
Duration: 14 May 201719 May 2017
https://www.cleoconference.org/library/images/cleo/Archive/CLEO-Archive-2017.pdf

Publication series

NameOptics InfoBase Conference Papers
VolumePart F42-CLEO_QELS 2017

Conference

Conference2017 Conference on Lasers and Electro-Optics, CLEO 2017
Country/TerritoryUnited States
CitySan Jose
Period14/05/1719/05/17
Internet address

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