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Quantum enhanced classical sensor networks

Abstract:
The quantum enhanced classical sensor network consists of K clusters of Ne entangled quantum states that have been trialled r times, each feeding into a classical estimation process. Previous literature has shown that each cluster can ideally achieve an estimation variance of 1/N2e r for sufficient r. We begin by deriving the optimal values for the minimum mean squared error of this quantum enhanced classical system. We then show that if noise is absent in the classical estimation process, the mean estimation error will decay like Ω (1/KN2e r). However, when noise is present we find that the mean estimation error will decay like Ω (1/K), so that all the sensing gains obtained from the individual quantum clusters will be lost.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/GLOCOMW.2017.8269073

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-9623-5087


Publisher:
Institute of Electrical and Electronics Engineers
Host title:
Workshop on Quantum Communications and Information Technology (QCIT 2017)
Journal:
Workshop on Quantum Communications and Information Technology (QCIT 2017) More from this journal
Publication date:
2018-01-25
Acceptance date:
2017-09-01
DOI:


Keywords:
Pubs id:
pubs:813438
UUID:
uuid:ae5ca9fa-d967-4bc3-993c-77f8e6fa386b
Local pid:
pubs:813438
Source identifiers:
813438
Deposit date:
2018-01-02
ARK identifier:

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