Evidence map›Paper›PMID 41444481›Full record

ArticleNature communications2025

Informationally complete distributed metrology without a shared reference frame.

Hua-Qing Xu, Gong-Chu Li, Xu-Song Hong, Lei Chen, Si-Qi Zhang, Yuancheng Liu, Geng Chen, Chuan-Feng Li, Guang-Can Guo

Abstract read
In one paragraph

Article in Nature communications, 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

9 authors.

Hua-Qing Xu *Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Gong-Chu Li *Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0001-5219-3818
Xu-Song HongLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Lei ChenLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Si-Qi ZhangLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Yuancheng LiuLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0009-0001-6588-8624
Geng ChenLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China. chengeng@ustc.edu.cn.ORCID http://orcid.org/0000-0001-9703-7667
Chuan-Feng LiLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0001-6815-8929
Guang-Can GuoLaboratory of Quantum Information, University of Science and Technology of China, Hefei, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12350006
6 · The paper itself

Abstract

In quantum information processing, implementing arbitrary preparations and measurements on qubits necessitates precise information to identify a specific reference frame (RF). In space quantum communication and sensing, where a shared RF is absent, the interplay between locality and symmetry imposes fundamental restrictions on physical systems. A restriction on realizable unitary operations results in a no-go theorem prohibiting the extraction of locally encoded information in RF-independent distributed metrology. Here, we propose a reversed-encoding method applied to two copies of local-unitary-invariant network states. This approach circumvents the no-go theorem while simultaneously mitigating decoherence-like noise caused by RF misalignment, thereby enabling the complete recovery of the quantum Fisher information (QFI). Furthermore, we confirm local Bell-state measurements as an optimal strategy to saturate the QFI. Our findings pave the way for the field application of distributed quantum sensing, which is inherently subject to unknown RF misalignment and was previously precluded by the no-go theorem.

Identifiers

PMID41444481
PMCPMC12847963

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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.