Evidence map›Paper›PMID 33767150›Full record

ArticleNature communications2021

High-fidelity spatial mode transmission through a 1-km-long multimode fiber via vectorial time reversal.

Yiyu Zhou, Boris Braverman, Alexander Fyffe, Runzhou Zhang, Jiapeng Zhao, Alan E Willner, Zhimin Shi, Robert W Boyd

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Yiyu ZhouThe Institute of Optics, University of Rochester, Rochester, NY, USA. yzhou62@ur.rochester.edu.
Boris BravermanDepartment of Physics, University of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0001-5193-2711
Alexander FyffeDepartment of Physics, University of South Florida, Tampa, FL, USA.
Runzhou ZhangDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Jiapeng ZhaoThe Institute of Optics, University of Rochester, Rochester, NY, USA.
Alan E WillnerDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-7339-4376
Zhimin ShiDepartment of Physics, University of South Florida, Tampa, FL, USA.
Robert W BoydThe Institute of Optics, University of Rochester, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-1234-2265

Funding

United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-16-1-2813United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-17-1-2443United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-20-1-2558
6 · The paper itself

Abstract

The large number of spatial modes supported by standard multimode fibers is a promising platform for boosting the channel capacity of quantum and classical communications by orders of magnitude. However, the practical use of long multimode fibers is severely hampered by modal crosstalk and polarization mixing. To overcome these challenges, we develop and experimentally demonstrate a vectorial time reversal technique, which is accomplished by digitally pre-shaping the wavefront and polarization of the forward-propagating signal beam to be the phase conjugate of an auxiliary, backward-propagating probe beam. Here, we report an average modal fidelity above 80% for 210 Laguerre-Gauss and Hermite-Gauss modes by using vectorial time reversal over an unstabilized 1-km-long fiber. We also propose a practical and scalable spatial-mode-multiplexed quantum communication protocol over long multimode fibers to illustrate potential applications that can be enabled by our technique.

Identifiers

PMID33767150
PMCPMC7994418

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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.