Distributed quantum sensing using continuous-variable multipartite entanglement

Quntao Zhuang, Zheshen Zhang, and Jeffrey H. Shapiro
Phys. Rev. A 97, 032329 – Published 21 March 2018

Abstract

Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement to enhance distributed sensing of field-quadrature displacement. By dividing a squeezed-vacuum state between multiple homodyne-sensor nodes using a lossless beam-splitter array, we obtain a root-mean-square (rms) estimation error that scales inversely with the number of nodes (Heisenberg scaling), whereas the rms error of a distributed sensor that does not exploit entanglement is inversely proportional to the square root of the number of nodes (standard quantum limit scaling). Our sensor's scaling advantage is destroyed by loss, but it nevertheless retains an rms-error advantage in settings in which there is moderate loss. Our distributed sensing scheme can be used to calibrate continuous-variable quantum key distribution networks, to perform multiple-sensor cold-atom temperature measurements, and to do distributed interferometric phase sensing.

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  • Received 28 November 2017

DOI:https://doi.org/10.1103/PhysRevA.97.032329

©2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Quntao Zhuang1,2,*, Zheshen Zhang1,3, and Jeffrey H. Shapiro1,†

  • 1Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 2Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 3Department of Materials Science and Engineering, University of Arizona, Tucson, Arizona 85721, USA

  • *quntao@mit.edu
  • jhs@mit.edu

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Issue

Vol. 97, Iss. 3 — March 2018

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