Evidence map›Paper›PMID 40835848›Full record

ArticleNature communications2025

Versatile photonic frequency synthetic dimensions using a single programmable on-chip device.

Zhao-An Wang, Xiao-Dong Zeng, Yi-Tao Wang, Jia-Ming Ren, Chun Ao, Zhi-Peng Li, Wei Liu, Nai-Jie Guo, Lin-Ke Xie, Jun-You Liu and 7 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

17 authors.

Zhao-An Wang *CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Xiao-Dong Zeng *CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Yi-Tao Wang *CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0003-3028-0923
Jia-Ming RenCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Chun AoCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Zhi-Peng LiCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Wei LiuCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Nai-Jie GuoCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Lin-Ke XieCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Jun-You LiuCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Yu-Hang MaCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Ya-Qi WuCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Xi-Wang LuoCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.
Shuang WangCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0003-1822-1613
Jian-Shun TangCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China. tjs@ustc.edu.cn.ORCID http://orcid.org/0000-0002-2191-8350
Chuan-Feng LiCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China. cfli@ustc.edu.cn.ORCID http://orcid.org/0000-0001-6815-8929
Guang-Can GuoCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, China.

Funding

China Postdoctoral Science Foundation 2023M733412National Natural Science Foundation of China (National Science Foundation of China) 11821404National Natural Science Foundation of China (National Science Foundation of China) 12174370National Natural Science Foundation of China (National Science Foundation of China) 12174376National Natural Science Foundation of China (National Science Foundation of China) 12304546Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2017492
6 · The paper itself

Abstract

Investigating physical models with photonic synthetic dimensions has been generating great interest in vast fields of science. The rapidly developing thin-film lithium niobate (TFLN) platform, for its numerous advantages including high electro-optic coefficient and scalability, is well compatible with the realization of synthetic dimensions in the frequency together with spatial domain. While coupling resonators with fixed beam splitters is a common experimental approach, it often lacks tunability and limits coupling between adjacent lattices to sites occupying the same frequency domain positions. Here, on the contrary, we conceive the resonator arrays connected by electro-optic tunable Mach-Zehnder interferometers in our configuration instead of fixed beam splitters. By applying bias voltage and RF modulation on the interferometers, our design extends such coupling to long-range scenario and allows for continuous tuning on each coupling strength and synthetic effective magnetic flux. Therefore, our design enriches controllable coupling types that are essential for building programmable lattice networks and significantly increases versatility. As the example, we experimentally fabricate a two-resonator prototype on the TFLN platform, and on this single chip we realize well-known models including tight-binding lattices, the Hall ladder and Creutz ladder. We directly observe the band structures in the quasi-momentum space and important phenomena such as spin-momentum locking, flat band and the Aharonov-Bohm cage effect. These results demonstrate the potential for convenient simulations of more complex models in our configuration.

Identifiers

PMID40835848
PMCPMC12368068

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