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Published February 2020 | Published + Submitted
Journal Article Open

Distributed quantum sensing enhanced by continuous-variable error correction

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 1√M. 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.

Additional Information

© 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 5 November 2019; Accepted 3 February 2020; Accepted Manuscript online 3 February 2020; Published 26 February 2020. We acknowledge Kyungjoo Noh and Sisi Zhou for discussions. We acknowledge support from the University of Arizona, ARO (W911NF-19-1-0418), ONR (N00014-19-1-2189), ARO-LPS (W911NF-18-1-0103), NSF (PHY-1733907), ARL-CDQI (W911NF-15-2-0067), ARO (W911NF-18-1-0020, W911NF-18-1-0212), ARO MURI (W911NF-16-1-0349), AFOSR MURI (FA9550-15-1-0015, FA9550-19-1-0399), DOE (DE-SC0019406), NSF (EFMA-1640959, OMA-1936118), and the Packard Foundation (2013-39273). The Institute for Quantum Information and Matter is an NSF Physics Frontiers Center. QZ acknowledges the hospitality of the Yale Quantum Institute during the completion of the paper.

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Published - Zhuang_2020_New_J._Phys._22_022001.pdf

Submitted - 1910.14156.pdf

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Created:
August 19, 2023
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March 5, 2024