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Takesue, H., Nam, S. W., Zhang, Q., Hadfield, R. H., Honjo, T., Tamaki, K., et al. (2007). Quantum key distribution over a 40-dB channel loss using superconducting single-photon detectors. Nat. Photon., 1, 343–348.
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Schwarz, B. (2010). Lidar: Mapping the world in 3D. Nat. Photon., 4(7), 429–430.
Abstract: A high-definition LIDAR system with a rotating sensor head containing 64 semiconductor lasers allows the efficient generation of 3D environment maps at unprecedented levels of detail.
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Schmidt, M. A. (2012). Integration: Fibres embrace optoelectronics. Nat. Photon., 6(3), 143–145.
Abstract: The demonstration of an in-fibre semiconductor photodetector with gigahertz bandwidth bodes well for the future development of hybrid fibre optoelectronics.
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Santori, C., & Beausoleil, R. G. (2012). Quantum memory: Phonons in diamond crystals. Nat. Photon., 6, 10–12.
Abstract: The demonstration that quantum information can be stored in a bulk-diamond crystal in the form of an optically excited phonon gives researchers a new type of mechanical solid-state quantum memory to explore.
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Pris, A. D., Utturkar, Y., Surman, C., Morris, W. G., Vert, A., Zalyubovskiy, S., et al. (2012). Towards high-speed imaging of infrared photons with bio-inspired nanoarchitectures. Nat. Photon., 6(3), 195–200.
Abstract: Existing infrared detectors rely on complex microfabrication and thermal management methods. Here, we report an attractive platform of low-thermal-mass resonators inspired by the architectures of iridescent Morpho butterfly scales. In these resonators, the optical cavity is modulated by its thermal expansion and refractive index change, resulting in `wavelength conversion' of mid-wave infrared (3-8 µm) radiation into visible iridescence changes. By doping Morpho butterfly scales with single-walled carbon nanotubes, we achieved mid-wave infrared detection with 18-62 mK noise-equivalent temperature difference and 35-40 Hz heat-sink-free response speed. The nanoscale pitch and the extremely small thermal mass of individual `pixels' promise significant improvements over existing detectors. Computational analysis explains the origin of this thermal response and guides future conceptually new bio-inspired thermal imaging sensor designs.
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