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Revealing Hidden Quantum Correlations in an Electromechanical Measurement.
Ockeloen-Korppi, C F; Damskägg, E; Paraoanu, G S; Massel, F; Sillanpää, M A.
  • Ockeloen-Korppi CF; Department of Applied Physics, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
  • Damskägg E; Department of Applied Physics, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
  • Paraoanu GS; Department of Applied Physics, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
  • Massel F; Department of Physics and Nanoscience Center, University of Jyväskylä, P.O. Box 35 (YFL), FI-40014 University of Jyväskylä, Finland.
  • Sillanpää MA; Department of Applied Physics, Aalto University, P.O. Box 15100, FI-00076 AALTO, Finland.
Phys Rev Lett ; 121(24): 243601, 2018 Dec 14.
Article en En | MEDLINE | ID: mdl-30608715
ABSTRACT
Under a strong quantum measurement, the motion of an oscillator is disturbed by the measurement backaction, as required by the Heisenberg uncertainty principle. When a mechanical oscillator is continuously monitored via an electromagnetic cavity, as in a cavity optomechanical measurement, the backaction is manifest by the shot noise of incoming photons that becomes imprinted onto the motion of the oscillator. Following the photons leaving the cavity, the correlations appear as squeezing of quantum noise in the emitted field. Here we observe such "ponderomotive" squeezing in the microwave domain using an electromechanical device made out of a superconducting resonator and a drumhead mechanical oscillator. Under a strong measurement, the emitted field develops complex-valued quantum correlations, which in general are not completely accessible by standard homodyne measurements. We recover these hidden correlations, using a phase-sensitive measurement scheme employing two local oscillators. The utilization of hidden correlations presents a step forward in the detection of weak forces, as it allows us to fully utilize the quantum noise reduction under the conditions of strong force sensitivity.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2018 Tipo del documento: Article