Parameter estimation with efficient photodetectors

Tuvia Gefen; David A. Herrera-Martí; Alex Retzker

doi:10.1103/PhysRevA.93.032133

Parameter estimation with efficient photodetectors

Tuvia Gefen^*, David A. Herrera-Martí, Alex Retzker

^*Corresponding author for this work

Racah Institute of Physics

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Current parameter estimation techniques rely on photodetectors which have a low efficiency and thus are based on gathering averaged statistics. Recently it was claimed that perfect photodetction will change the nature of sensing algorithms and will increase the sensing efficiency beyond the immediate effect of a higher collection efficiency. In this paper we bring up the observation that perfect photodetection implies Heisenberg scaling (1T) for parameter estimations. We analyze a specific example in detail.

Original language	American English
Article number	032133
Journal	Physical Review A
Volume	93
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevA.93.032133
State	Published - 28 Mar 2016

Bibliographical note

Funding Information:
A.R. acknowledges the support of the Israel Science Foundation(Grant No. 039-8823), the European Commission (STReP EQUAM Grant Agreement No. 323714), EU Project DIADEMS, the Marie Curie Career Integration Grant (CIG) IonQuanSense (321798), and the Niedersachsen-Israeli Research Cooperation Program and DIP program (FO 703/2-1).

Publisher Copyright:
© 2016 American Physical Society.

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10.1103/PhysRevA.93.032133

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title = "Parameter estimation with efficient photodetectors",

abstract = "Current parameter estimation techniques rely on photodetectors which have a low efficiency and thus are based on gathering averaged statistics. Recently it was claimed that perfect photodetction will change the nature of sensing algorithms and will increase the sensing efficiency beyond the immediate effect of a higher collection efficiency. In this paper we bring up the observation that perfect photodetection implies Heisenberg scaling (1T) for parameter estimations. We analyze a specific example in detail.",

author = "Tuvia Gefen and Herrera-Mart{\'i}, {David A.} and Alex Retzker",

note = "Funding Information: A.R. acknowledges the support of the Israel Science Foundation(Grant No. 039-8823), the European Commission (STReP EQUAM Grant Agreement No. 323714), EU Project DIADEMS, the Marie Curie Career Integration Grant (CIG) IonQuanSense (321798), and the Niedersachsen-Israeli Research Cooperation Program and DIP program (FO 703/2-1). Publisher Copyright: {\textcopyright} 2016 American Physical Society.",

year = "2016",

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doi = "10.1103/PhysRevA.93.032133",

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AU - Herrera-Martí, David A.

AU - Retzker, Alex

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PY - 2016/3/28

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N2 - Current parameter estimation techniques rely on photodetectors which have a low efficiency and thus are based on gathering averaged statistics. Recently it was claimed that perfect photodetction will change the nature of sensing algorithms and will increase the sensing efficiency beyond the immediate effect of a higher collection efficiency. In this paper we bring up the observation that perfect photodetection implies Heisenberg scaling (1T) for parameter estimations. We analyze a specific example in detail.

AB - Current parameter estimation techniques rely on photodetectors which have a low efficiency and thus are based on gathering averaged statistics. Recently it was claimed that perfect photodetction will change the nature of sensing algorithms and will increase the sensing efficiency beyond the immediate effect of a higher collection efficiency. In this paper we bring up the observation that perfect photodetection implies Heisenberg scaling (1T) for parameter estimations. We analyze a specific example in detail.

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ER -

Parameter estimation with efficient photodetectors

Abstract

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