Improving situation awareness in degraded environments using a distributed array of hyperentangled sensors

James F. Smith III

doi:10.1117/1.OE.58.5.051808

14 February 2019 Improving situation awareness in degraded environments using a distributed array of hyperentangled sensors

James F. Smith III

Author Affiliations +

Optical Engineering, Vol. 58, Issue 5, 051808 (February 2019). https://doi.org/10.1117/1.OE.58.5.051808

Abstract

A method of improving situation awareness in a degraded environment based on a distributed array made up of quantum hyperentangled sensors is considered. This approach greatly reduces the effect of interference, noise, and signal loss mechanisms. It offers significant increases in the performance range for sensor or communications applications. It simultaneously improves resolution, signal-to-interference ratio (SIR), diminishes time-on-target (TOT), information transfer rates, etc. Each hyperentangled system consists of a single hyperentangled signal and single ancilla photon. The effect of noise in every single photon state as well as loss is included. The signal photon will experience classical loss and each ancilla photon will suffer a low level of loss. Forming an array offers further advantage of an increased reduction in measurement time. Let d be the number of single photon states, i.e., the dimensionality of the underlying Hilbert space resulting from hyperentanglement. It is shown mathematically that in the large d limit, that different members of the array do not interfere with each other, implying they can be put close together. This permits an enormous reduction in the measurement time, i.e., the TOT. Each hyperentangled system making up the array receives a factor of d improvement in the signal-to-noise ratio, SIR, and a factor of d reduction in measurement time.

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James F. Smith III "Improving situation awareness in degraded environments using a distributed array of hyperentangled sensors," Optical Engineering 58(5), 051808 (14 February 2019). https://doi.org/10.1117/1.OE.58.5.051808

Received: 30 August 2018; Accepted: 23 January 2019; Published: 14 February 2019

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