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  • Memory for Light as a Quantum Process

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    Author(s)
    Lobino, M
    Kupchak, C
    Figueroa, E
    Lvovsky, AI
    Griffith University Author(s)
    Lobino, Mirko
    Year published
    2009
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    Abstract
    We report complete characterization of an optical memory based on electromagnetically induced transparency. We recover the superoperator associated with the memory, under two different working conditions, by means of a quantum process tomography technique that involves storage of coherent states and their characterization upon retrieval. In this way, we can predict the quantum state retrieved from the memory for any input, for example, the squeezed vacuum or the Fock state. We employ the acquired superoperator to verify the nonclassicality benchmark for the storage of a Gaussian distributed set of coherent states.We report complete characterization of an optical memory based on electromagnetically induced transparency. We recover the superoperator associated with the memory, under two different working conditions, by means of a quantum process tomography technique that involves storage of coherent states and their characterization upon retrieval. In this way, we can predict the quantum state retrieved from the memory for any input, for example, the squeezed vacuum or the Fock state. We employ the acquired superoperator to verify the nonclassicality benchmark for the storage of a Gaussian distributed set of coherent states.
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    Journal Title
    Physical Review Letters
    Volume
    102
    DOI
    https://doi.org/10.1103/PhysRevLett.102.203601
    Copyright Statement
    © 2009 American Physical Society. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Mathematical sciences
    Physical sciences
    Atomic and molecular physics
    Quantum information, computation and communication
    Quantum optics and quantum optomechanics
    Engineering
    Publication URI
    http://hdl.handle.net/10072/53194
    Collection
    • Journal articles

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