Evidence map›Paper›PMID 41049412›Full record

ArticleNational science review2025

Quantum sensors in space: unveiling the invisible universe.

Yuanhong Wang, Xingming Huang, Min Jiang, Qing Lin, Wenqiang Zheng, Yuan Sun, Liang Liu, Xinhua Peng, Zhengguo Zhao, Jiangfeng Du

Abstract read
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yuanhong WangLaboratory of Spin Magnetic Resonance, Schoo of Physical Sciences, Anhui Province Key Laboratory of Scientific Instrument Development and Application, University of Science and Technology of China, China.
Xingming HuangLaboratory of Spin Magnetic Resonance, Schoo of Physical Sciences, Anhui Province Key Laboratory of Scientific Instrument Development and Application, University of Science and Technology of China, China.
Min JiangLaboratory of Spin Magnetic Resonance, Schoo of Physical Sciences, Anhui Province Key Laboratory of Scientific Instrument Development and Application, University of Science and Technology of China, China.
Qing LinState Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, China.
Wenqiang ZhengDeep Space Exploration Laboratory/Department of Modern Physics, University of Science and Technology of China, China.
Yuan SunZhejiang Provincial Key Laboratory and Collaborative Innovation Center for Quantum Precision Measurement, College of Science, Zhejiang University of Technology, China.ORCID https://orcid.org/0000-0002-7546-4817
Liang LiuZhejiang Provincial Key Laboratory and Collaborative Innovation Center for Quantum Precision Measurement, College of Science, Zhejiang University of Technology, China.ORCID https://orcid.org/0000-0001-7343-422X
Xinhua PengLaboratory of Spin Magnetic Resonance, Schoo of Physical Sciences, Anhui Province Key Laboratory of Scientific Instrument Development and Application, University of Science and Technology of China, China.
Zhengguo ZhaoState Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, China.
Jiangfeng DuHefei National Laboratory, University of Science and Technology of China, China.ORCID https://orcid.org/0000-0001-8085-8012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-speed China Space Station, equipped with in-orbit quantum nuclear-spin sensors, would be a powerful tool for exploring new interactions beyond the Standard Model.

Identifiers

PMID41049412
PMCPMC12492181

What OpenQuestion holds

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Registered trials

None linked

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.