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Discriminating single-photon states unambiguously in high dimensions.
Agnew, Megan; Bolduc, Eliot; Resch, Kevin J; Franke-Arnold, Sonja; Leach, Jonathan.
Afiliação
  • Agnew M; Department of Physics & Astronomy and Institute for Quantum Computing, University of Waterloo, Waterloo N2L 3G1, Canada and SUPA, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.
  • Bolduc E; SUPA, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.
  • Resch KJ; Department of Physics & Astronomy and Institute for Quantum Computing, University of Waterloo, Waterloo N2L 3G1, Canada.
  • Franke-Arnold S; SUPA, School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
  • Leach J; SUPA, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.
Phys Rev Lett ; 113(2): 020501, 2014 Jul 11.
Article em En | MEDLINE | ID: mdl-25062151
ABSTRACT
The ability to uniquely identify a quantum state is integral to quantum science, but for nonorthogonal states, quantum mechanics precludes deterministic, error-free discrimination. However, using the nondeterministic protocol of unambiguous state discrimination enables the error-free differentiation of states, at the cost of a lower frequency of success. We discriminate experimentally between nonorthogonal, high-dimensional states encoded in single photons; our results range from dimension d=2 to d=14. We quantify the performance of our method by comparing the total measured error rate to the theoretical rate predicted by minimum-error state discrimination. For the chosen states, we find a lower error rate by more than 1 standard deviation for dimensions up to d=12. This method will find immediate application in high-dimensional implementations of quantum information protocols, such as quantum cryptography.
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Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article