Distributed quantum sensing enhanced by continuous-variable error correction

Quntao Zhuang, John Preskill, Liang Jiang

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

A distributed sensing protocol uses a network of local sensing nodes to estimate a global feature of the network, such as a weighted average of locally detectable parameters. In the noiseless case, continuous-variable (CV) multipartite entanglement shared by the nodes can improve the precision of parameter estimation relative to the precision attainable by a network without shared entanglement; for an entangled protocol, the root mean square estimation error scales like 1/ √M with the number M of sensing nodes, the so-called Heisenberg scaling, while for protocols without entanglement, the error scales like . However, in the presence of loss and other noise sources, although multipartite entanglement still has some advantages for sensing displacements and phases, the scaling of the precision with M is less favorable. In this paper, we show that using CV error correction codes can enhance the robustness of sensing protocols against imperfections and reinstate Heisenberg scaling up to moderate values of M. Furthermore, while previous distributed sensing protocols could measure only a single quadrature, we construct a protocol in which both quadratures can be sensed simultaneously. Our work demonstrates the value of CV error correction codes in realistic sensing scenarios.

Original languageEnglish (US)
Article number022001
JournalNew Journal of Physics
Volume22
Issue number2
DOIs
StatePublished - 2020

Keywords

  • multipartite entanglement, continuous-variable
  • quantum information
  • quantum sensing
  • quanutm error correction

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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