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Quantum illumination for enhanced detection of Rayleigh-fading targets

Quantum Physics 2017-08-23 v2

Abstract

Quantum illumination (QI) is an entanglement-enhanced sensing system whose performance advantage over a comparable classical system survives its usage in an entanglement-breaking scenario plagued by loss and noise. In particular, QI's error-probability exponent for discriminating between equally-likely hypotheses of target absence or presence is 6 dB higher than that of the optimum classical system using the same transmitted power. This performance advantage, however, presumes that the target return, when present, has known amplitude and phase, a situation that seldom occurs in lidar applications. At lidar wavelengths, most target surfaces are sufficiently rough that their returns are speckled, i.e., they have Rayleigh-distributed amplitudes and uniformly-distributed phases. QI's optical parametric amplifier receiver -- which affords a 3 dB better-than-classical error-probability exponent for a return with known amplitude and phase -- fails to offer any performance gain for Rayleigh-fading targets. We show that the sum-frequency generation receiver [Phys. Rev. Lett. 118, 040801 (2017)] -- whose error-probability exponent for a nonfading target achieves QI's full 6 dB advantage over optimum classical operation -- outperforms the classical system for Rayleigh-fading targets. In this case, QI's advantage is subexponential: its error probability is lower than the classical system's by a factor of 1/ln(MκˉNS/NB)1/\ln(M\bar{\kappa}N_S/N_B), when MκˉNS/NB1M\bar{\kappa}N_S/N_B \gg 1, with M1M\gg 1 being the QI transmitter's time-bandwidth product, NS1N_S \ll 1 its brightness, κˉ\bar{\kappa} the target's average reflectivity, and NBN_B the background light's brightness.

Keywords

Cite

@article{arxiv.1706.05561,
  title  = {Quantum illumination for enhanced detection of Rayleigh-fading targets},
  author = {Quntao Zhuang and Zheshen Zhang and Jeffrey H. Shapiro},
  journal= {arXiv preprint arXiv:1706.05561},
  year   = {2017}
}

Comments

7 pages, 3 figures