781 Mbit/s photon-counting optical communications using a superconducting nanowire detector

Robinson, Bryan S.; Kerman, Andrew J.; Dauler, Eric A.; Barron, R.J.; Caplan, D.O.; Stevens, Mark L.; Carney, John; Hamilton, Scott A.; Yang, Joel K. W.; Berggren, Karl K.

doi:10.1364/ol.31.000444

Cited by 169 publications

(80 citation statements)

References 7 publications

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“…Francesco Giazotto, 1,a͒ Tero T. Heikkilä, 2 Giovanni Piero Pepe, 3 Panu Helistö, 4 Arttu Luukanen, 5 We propose a mesoscopic kinetic-inductance radiation detector based on a long superconductor-normal metal-superconductor Josephson junction. The operation of this proximity Josephson sensor relies on large kinetic inductance variations under irradiation due to the exponential temperature dependence of the critical current.…”

Section: Ultrasensitive Proximity Josephson Sensor With Kinetic Inducmentioning

confidence: 99%

Ultrasensitive proximity Josephson sensor with kinetic inductance readout

Giazotto

Heikkilä²,

Pepe

et al. 2008

Applied Physics Letters

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We propose a mesoscopic kinetic-inductance radiation detector based on a long superconductor-normal metal-superconductor Josephson junction. The operation of this proximity Josephson sensor relies on large kinetic inductance variations under irradiation due to the exponential temperature dependence of the critical current. Coupled with a dc superconducting quantum interference device readout, the PJS is able to provide a signal to noise (S/N) ratio up to similar to 10(3) in the terahertz regime if operated as calorimeter, while electrical noise equivalent power as low as similar to 7x10(-20) W/root Hz at 200 mK can be achieved in the bolometer operation. The high performance together with the ease of fabrication make this structure attractive as an ultrasensitive cryogenic detector of terahertz electromagnetic radiation. (C) 2008 American Institute of Physics

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Section: Ultrasensitive Proximity Josephson Sensor With Kinetic Inducmentioning

confidence: 99%

Ultrasensitive proximity Josephson sensor with kinetic inductance readout

Giazotto

Heikkilä²,

Pepe

et al. 2008

Applied Physics Letters

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“…In particular, conventional optical communication receivers-viz., direct, homodyne, or heterodyne detection receivers-have different capacities because the quantum measurements they perform lead to different measurement statistics. Direct detection has superior photon efficiency (bits/photon) [4], so it is the preferred choice for photon-starved applications like the lunar laser communication demonstration [5]. Homodyne and heterodyne detection, however, offer better spectral efficiency [(bits/s)/Hz] [6], thus they are being pursued to maximize throughput in the Internet's fiber backbone.…”

Section: Introductionmentioning

confidence: 99%

Ultimate capacity of a linear time-invariant bosonic channel

Bardhan

Shapiro

2016

Phys. Rev. A

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We determine the ultimate classical information capacity of a linear time-invariant bosonic channel with additive phase-insensitive Gaussian noise. This channel can model fiber-optic communication at power levels below the threshold for significant nonlinear effects. We provide a general continuous-time result that gives the ultimate capacity for such a channel operating in the quasimonochromatic regime under an average power constraint. This ultimate capacity is compared with corresponding results for heterodyne and homodyne detection over the same channel.

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“…In particular, conventional optical communication receivers, i.e., those that employ direct, homodyne, or heterodyne detection, have different capacities, owing to their different measurement statistics. Direct detection has superior photon efficiency (many bits/photon), 4 hence it is the preferred choice for photon-starved applications like the Lunar Laser Communication Demonstration. 5 Homodyne and heterodyne detection, however, offer better spectral efficiency (many bits/sec-Hz), 6 so they are employed to maximize throughput in the Internet's fiber backbone.…”

Section: Introductionmentioning

confidence: 99%

Ultimate capacity of linear time-invariant bosonic channels with additive Gaussian noise

Bardhan

Shapiro

2016

SPIE Proceedings

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Fiber-optic communications are moving to coherent detection in order to increase their spectral efficiency, i.e., their channel capacity per unit bandwidth. At power levels below the threshold for significant nonlinear effects, the channel model for such operation-a linear time-invariant filter followed by additive Gaussian noise-is one whose channel capacity is well known from Shannon's noisy channel coding theorem. The fiber channel, however, is really a bosonic channel, meaning that its ultimate classical information capacity must be determined from quantum-mechanical analysis, viz. from the Holevo-Schumacher-Westmoreland (HSW) theorem. Based on recent results establishing the HSW capacity of a linear (lossy or amplifying) channel with additive Gaussian noise, we provide a general continuous-time result, namely the HSW capacity of a linear time-invariant (LTI) bosonic channel with additive Gaussian noise arising from a thermal environment. In particular, we treat quasimonochromatic communication under an average power constraint through a channel comprised of a stable LTI filter that may be attenuating at all frequencies or amplifying at some frequencies and attenuating at others. Phase-insensitive additive Gaussian noise-associated with the continuous-time Langevin noise operator needed to preserve free-field commutator brackets-is included at the filter output. We compare the resulting spectral efficiencies with corresponding results for heterodyne and homodyne detection over the same channel to assess the increased spectral efficiency that might be realized with optimum quantum reception.

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781 Mbit/s photon-counting optical communications using a superconducting nanowire detector

Cited by 169 publications

References 7 publications

Ultrasensitive proximity Josephson sensor with kinetic inductance readout

Ultrasensitive proximity Josephson sensor with kinetic inductance readout

Ultimate capacity of a linear time-invariant bosonic channel

Ultimate capacity of linear time-invariant bosonic channels with additive Gaussian noise

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