Quantum Noise Radar: Assessing Quantum Correlations

D. Mogilevtsev, I. Peshko, I. Karuseichyk, A. Mikhalychev, A. P. Nizovtsev, G. Ya Slepyan, A. Boag

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We suggest overcoming the 'Rayleigh catastrophe' and reaching superresolution for imaging with both spatially and temporally-correlated field of a superradiant quantum antenna. Considering far-field radiation of two interacting spontaneously emitting two-level systems, we show that for the measurement of the temporally-delayed second-order correlation function of the scattered field, the Fisher information does not tend to zero with diminishing the distance be-tween a pair of scatterers even for non-sharp time-averaged detection. For position estimation of a larger number of scatterers, measurement of the time-delayed function is able to provide a considerable accuracy gain over the zero-delayed function. We show also that the superresolution with the considered quantum antenna can be achieved for both near-field imaging and estimating parameters of the antenna.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695494
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019 - Tel-Aviv, Israel
Duration: 4 Nov 20196 Nov 2019

Publication series

Name2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019

Conference

Conference2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2019
Country/TerritoryIsrael
CityTel-Aviv
Period4/11/196/11/19

Keywords

  • far-field sensing
  • quantum antennas
  • superresolution

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications

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