Evidence map›Paper›PMID 40991697›Full record

ArticleScience advances2025

Quantum-enhanced multiparameter sensing in a single mode.

Christophe H Valahu, Matthew P Stafford, Zixin Huang, Vassili G Matsos, Maverick J Millican, Teerawat Chalermpusitarak, Nicolas C Menicucci, Joshua Combes, Ben Q Baragiola, Ting Rei Tan

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In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Christophe H ValahuSchool of Physics, University of Sydney, NSW 2006, Australia.ORCID 0000-0002-6763-7132
Matthew P StaffordQuantum Engineering Technology Labs, H. H. Wills Physics Laboratory and Department of Electrical Engineering, University of Bristol, Bristol, UK.ORCID 0000-0001-9938-3854
Zixin HuangSchool of Mathematical and Physical Sciences, Macquarie University, NSW 2109, Australia.ORCID 0000-0002-6529-8691
Vassili G MatsosSchool of Physics, University of Sydney, NSW 2006, Australia.ORCID 0000-0001-9641-1514
Maverick J MillicanSchool of Physics, University of Sydney, NSW 2006, Australia.ORCID 0000-0002-4407-7566
Teerawat ChalermpusitarakSchool of Physics, University of Sydney, NSW 2006, Australia.
Nicolas C MenicucciCentre for Quantum Computation and Communication Technology, School of Science, RMIT University, VIC 3000, Australia.ORCID 0000-0002-3964-233X
Joshua CombesUniversity of Melbourne, VIC 3052, Australia.ORCID 0000-0003-3199-5744
Ben Q BaragiolaCentre for Quantum Computation and Communication Technology, School of Science, RMIT University, VIC 3000, Australia.ORCID 0000-0003-3566-2955
Ting Rei TanSchool of Physics, University of Sydney, NSW 2006, Australia.ORCID 0000-0003-4520-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise measurements underpin scientific and technological advancements. Quantum mechanics provides an avenue to enhance precision, but it comes with a restriction: Incompatible observables, such as position and momentum, cannot be simultaneously measured to arbitrary accuracy as decreed by Heisenberg's uncertainty principle. This restriction can be bypassed by instead measuring commuting modular observables, which are counterparts to the naturally incompatible observables. Here, we measure modular observables to estimate small changes in position and momentum with a single-mode multiparameter sensor. We deterministically prepare grid states in the mechanical motion of a trapped ion and demonstrate uncertainties in position and momentum below the standard quantum limit (SQL). Further, we examine another pair of incompatible observables-number and phase. We prepare a different resource-number-phase states-and demonstrate a metrological gain over the SQL. These results introduce previously unidentified measurement capabilities unavailable to classical systems and mark a substantial step in quantum metrology.

Identifiers

PMID40991697
PMCPMC13141900

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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.