High-dimensional non-Abelian holonomy in integrated photonics

Non-Abelian holonomy is known for the robust holonomic unitary behavior exhibited. The associated non-Abelian geometric phase is a promising approach for implementing topologically protected computation. But its realization in application-abundant platforms has been largely elusive. In particular, the observation of universal high-order matrices is difficult due to challenges from increasing the dimensions of degenerate subspace. Here we realize a high-dimensional non-Abelian holonomic device on an integrated multilayer silicon nitride platform, which is compatible with the complementary-metal-oxide-semiconductor process. High dimensional (up to 6), broadband (> 100 nm operating bandwidth), and ultra-compact volume non-Abelian holonomy unitary matrices of arbitrary special orthogonal group are observed, and M × N linear holonomic computation architecture is experimentally realized through singular value decomposition. Our work provides a paradigm for versatile applications of non-Abelian geometric phase for both classical and quantum realms.

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Publication Details

Journal
Nature Communications
Published
2025-04-17
DOI
https://doi.org/10.1038/s41467-025-58794-3
Citations
4
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
9.92

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article

High-dimensional non-Abelian holonomy in integrated photonics

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4 citations
Nature Communications
Neural Networks and Reservoir Computing
9.92
article

High-dimensional non-Abelian holonomy in integrated photonics

Guancong Ma, Qiang Zhou, Yikai Su, Guang‐Can Guo, Youlve Chen, Guo-Huai Wang, Jinlong Xiang, Xuhan Guo, Yunru Fan, An He, Gulliver Larsonneur, Xu‐Lin Zhang
article en
4 citations

Abstract

Non-Abelian holonomy is known for the robust holonomic unitary behavior exhibited. The associated non-Abelian geometric phase is a promising approach for implementing topologically protected computation. But its realization in application-abundant platforms has been largely elusive. In particular, the observation of universal high-order matrices is difficult due to challenges from increasing the dimensions of degenerate subspace. Here we realize a high-dimensional non-Abelian holonomic device on an integrated multilayer silicon nitride platform, which is compatible with the complementary-metal-oxide-semiconductor process. High dimensional (up to 6), broadband (> 100 nm operating bandwidth), and ultra-compact volume non-Abelian holonomy unitary matrices of arbitrary special orthogonal group are observed, and M × N linear holonomic computation architecture is experimentally realized through singular value decomposition. Our work provides a paradigm for versatile applications of non-Abelian geometric phase for both classical and quantum realms.

Nature CommunicationsVol. 16(1)
Hong Kong Baptist University (HK), University of Electronic Science and Technology of China (CN), Shanghai Jiao Tong University (CN), Jilin University (CN), Henan Tianguan Group (China) (CN), State Key Laboratory on Integrated Optoelectronics (CN)
Hong Kong Baptist University, National Natural Science Foundation of China, Shanghai Jiao Tong University
Sustainable cities and communities
Openalex Percentile: Top 2%
Neural Networks and Reservoir Computing
9.92
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