Evidence map›Paper›PMID 32733031›Full record

ArticleNature communications2020

Multiparameter squeezing for optimal quantum enhancements in sensor networks.

Manuel Gessner, Augusto Smerzi, Luca Pezzè

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Manuel GessnerLaboratoire Kastler Brossel, ENS-PSL Université, CNRS, Sorbonne Université, Collège de France, 24 Rue Lhomond, 75005, Paris, France. manuel.gessner@ens.fr.ORCID http://orcid.org/0000-0003-4203-0366
Augusto SmerziQSTAR, CNR-INO and LENS, Largo Enrico Fermi 2, 50125, Firenze, Italy.
Luca PezzèQSTAR, CNR-INO and LENS, Largo Enrico Fermi 2, 50125, Firenze, Italy.

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-10-IDEX-0001-02Agence Nationale de la Recherche (French National Research Agency) ANR-10-LABX-0010EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) FET Flagship: QombsEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) QuantERA: CEBBEC
6 · The paper itself

Abstract

Squeezing currently represents the leading strategy for quantum enhanced precision measurements of a single parameter in a variety of continuous- and discrete-variable settings and technological applications. However, many important physical problems including imaging and field sensing require the simultaneous measurement of multiple unknown parameters. The development of multiparameter quantum metrology is yet hindered by the intrinsic difficulty in finding saturable sensitivity bounds and feasible estimation strategies. Here, we derive the general operational concept of multiparameter squeezing, identifying metrologically useful states and optimal estimation strategies. When applied to spin- or continuous-variable systems, our results generalize widely-used spin- or quadrature-squeezing parameters. Multiparameter squeezing provides a practical and versatile concept that paves the way to the development of quantum-enhanced estimation of multiple phases, gradients, and fields, and for the efficient characterization of multimode quantum states in atomic and optical sensor networks.

Identifiers

PMID32733031
PMCPMC7393128

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.