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Komrakova S, Javadzade J, Vorobyov V, Bolshedvorskii S, Soshenko V, Akimov A, et al. On-chip controlled placement of nanodiamonds with a nitrogen-vacancy color centers (NV). In: J. Phys.: Conf. Ser. Vol 1124.; 2018. 051046 (1 to 4).
Abstract: Here we studied the fabrication technique of a kilopixel array of nanodiamonds with a nitrogen-vacancy color centers (NV) on top of the chip and measured the second-order correlation function deep, clearly demonstrated the presence of single-photon sources. The controlled position of nanodiamonds, determined from the measurement of second-order correlation fiction, was realize, as well as the yield of optimized technique equals 12.5% is shown.
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Kovalyuk V, Kahl O, Ferrari S, Vetter A, Lewes-Malandrakis G, Nebel C, et al. On-chip single-photon spectrometer for visible and infrared wavelength range. In: J. Phys.: Conf. Ser. Vol 1124.; 2018. 051045.
Abstract: Here we show our latest progress in the field of a single-photon spectrometer for the visible and infrared wavelengths ranges implementation. We consider three different on-chip approaches: a coherent spectrometer with a low power of the heterodyne, a coherent spectrometer with a high power of the heterodyne, and an eight-channel single-photon spectrometer for direct detection. Along with high efficiency, spectrometers show high detection efficiency and temporal resolution through the use of waveguide integrated superconducting nanowire single-photon detectors.
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Smirnov E, Golikov A, Zolotov P, Kovalyuk V, Lobino M, Voronov B, et al. Superconducting nanowire single-photon detector on lithium niobate. In: J. Phys.: Conf. Ser. Vol 1124.; 2018. 051025.
Abstract: We demonstrate superconducting niobium nitride nanowires folded on top of lithium niobate substrate. We report of 6% system detection efficiency at 20 s−1 dark count rate at telecommunication wavelength (1550 nm). Our results shown great potential for the use of NbN nanowires in the field of linear and nonlinear integrated quantum photonics.
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Vodolazov DY, Manova NN, Korneeva YP, Korneev AA. Timing jitter in NbN superconducting microstrip single-photon detector. Phys Rev Applied. 2020;14(4):044041 (1 to 8).
Abstract: We experimentally study timing jitter of single-photon detection by NbN superconducting strips with width w ranging from 190 nm to 3μm. We find that timing jitter of both narrow (190 nm) and micron-wide strips is about 40 ps at currents where internal detection efficiency η saturates and it is close to our instrumental jitter. We also calculate intrinsic timing jitter in wide strips using the modified time-dependent Ginzburg-Landau equation coupled with a two-temperature model. We find that with increasing width the intrinsic timing jitter increases and the effect is most considerable at currents where a rapid growth of η changes to saturation. We relate it with complicated vortex and antivortex dynamics, which depends on a photon’s absorption site across the strip and its width. The model also predicts that at current close to depairing current the intrinsic timing jitter of a wide strip could be about ℏ/kBTc (Tc is a critical temperature of superconductor), i.e., the same as for a narrow strip.
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Lusche R, Semenov A, Ilin K, Siegel M, Korneeva Y, Trifonov A, et al. Effect of the wire width on the intrinsic detection efficiency of superconducting-nanowire single-photon detectors. J Appl Phys. 2014;116(4):043906 (1 to 9).
Abstract: A thorough spectral study of the intrinsic single-photon detection efficiency in superconducting TaN and NbN nanowires with different widths has been performed. The experiment shows that the cut-off of the intrinsic detection efficiency at near-infrared wavelengths is most likely controlled by the local suppression of the barrier for vortex nucleation around the absorption site. Beyond the cut-off quasi-particle diffusion in combination with spontaneous, thermally activated vortex crossing explains the detection process. For both materials, the reciprocal cut-off wavelength scales linearly with the wire width where the scaling factor agrees with the hot-spot detection model.
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