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Distributed quantum sensing enhanced by continuous-variable error correction

Zhuang, Quntao and Preskill, John and Jiang, Liang (2020) Distributed quantum sensing enhanced by continuous-variable error correction. New Journal of Physics, 22 (2). Art. No. 022001. ISSN 1367-2630. doi:10.1088/1367-2630/ab7257.

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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.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Zhuang, Quntao0000-0002-9554-3846
Jiang, Liang0000-0002-0000-9342
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.
Group:Institute for Quantum Information and Matter, Walter Burke Institute for Theoretical Physics
Funding AgencyGrant Number
University of ArizonaUNSPECIFIED
Army Research Office (ARO)W911NF-19-1-0418
Office of Naval Research (ONR)N00014-19-1-2189
Army Research Office (ARO)W911NF-18-1-0103
Army Research LaboratoryW911NF-15-2-0067
Army Research Office (ARO)W911NF-18-1-0020
Army Research Office (ARO)W911NF-18-1-0212
Army Research Office (ARO)W911NF-16-1-0349
Air Force Office of Scientific Research (AFOSR)FA9550-15-1-0015
Air Force Office of Scientific Research (AFOSR)FA9550-19-1-0399
Department of Energy (DOE)DE-SC0019406
David and Lucile Packard Foundation2013-39273
Issue or Number:2
Record Number:CaltechAUTHORS:20200430-121016107
Persistent URL:
Official Citation:Quntao Zhuang et al 2020 New J. Phys. 22 022001
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102930
Deposited By: Tony Diaz
Deposited On:30 Apr 2020 20:40
Last Modified:12 Jul 2022 19:48

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