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DETECTING THE EVENT OF A SINGLE PHOTON LOSS ON QUANTUM SIGNALS

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dc.contributor.author Mandilara, A.
dc.contributor.author Balkybek, Y.
dc.contributor.author Akulin, V. M.
dc.date.accessioned 2022-04-29T08:25:33Z
dc.date.available 2022-04-29T08:25:33Z
dc.date.issued 2021-05
dc.identifier.citation Mandilara, A., Balkybek, Y., & Akulin, V. M. (2021). Detecting the event of a single photon loss on quantum signals. Journal of Physics B: Atomic, Molecular and Optical Physics, 54(10), 105501. https://doi.org/10.1088/1361-6455/abee98 en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/6126
dc.description.abstract We design a scheme for detecting a single photon loss from multi-modal quantum signals transmitted via a fiber or in free space. This consists of a special type of unitary coding transformation, the parity controlled-squeezing, applied prior to the transmission on the signal composed by information and ancilla modes. At the receiver, the inverse unitary transformation is applied—decoding, and the ancilla mode is measured via photon detection. The outcome reveals whether a photon loss has occurred. Distortion of the information part of the signal caused by an ancilla photon loss can be corrected via unitary transformation while loss of a photon from the information part of the signal can be detected with the probability exponentially close to unity but cannot be corrected. In contrast to the schemes of decoherence free subspaces and quantum error correction protocols, this method allows one to make use in principle of entire Hilbert space dimensionality. We discuss possible ways of synthesizing the required encoding–decoding transformation. en_US
dc.language.iso en en_US
dc.publisher Journal of Physics B Atomic Molecular and Optical Physics en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.title DETECTING THE EVENT OF A SINGLE PHOTON LOSS ON QUANTUM SIGNALS en_US
dc.type Article en_US
workflow.import.source science


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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States