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Magnetic actuation and feedback cooling of a cavity optomechanical torque sensor.
Kim, P H; Hauer, B D; Clark, T J; Fani Sani, F; Freeman, M R; Davis, J P.
Afiliação
  • Kim PH; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9.
  • Hauer BD; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9.
  • Clark TJ; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9.
  • Fani Sani F; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9.
  • Freeman MR; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9.
  • Davis JP; Department of Physics, University of Alberta, Edmonton, AB, Canada, T6G 2E9. jdavis@ualberta.ca.
Nat Commun ; 8(1): 1355, 2017 11 07.
Article em En | MEDLINE | ID: mdl-29116095
ABSTRACT
Cavity optomechanics has demonstrated remarkable capabilities, such as measurement and control of mechanical motion at the quantum level. Yet many compelling applications of optomechanics-such as microwave-to-telecom wavelength conversion, quantum memories, materials studies, and sensing applications-require hybrid devices, where the optomechanical system is coupled to a separate, typically condensed matter, system. Here, we demonstrate such a hybrid optomechanical system, in which a mesoscopic ferromagnetic needle is integrated with an optomechanical torsional resonator. Using this system we quantitatively extract the magnetization of the needle, not known a priori, demonstrating the potential of this system for studies of nanomagnetism. Furthermore, we show that we can magnetically dampen its torsional mode from room-temperature to 11.6 K-improving its mechanical response time without sacrificing torque sensitivity. Future extensions will enable studies of high-frequency spin dynamics and broadband wavelength conversion via torque mixing.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article