Recent progress towards large-scale integrated photonic quantum computation

Abstract Recent years have witnessed significant progress in quantum computing and its applications, driven by the emergence of integrated quantum photonic chips. These chips offer significant advantages of scalability, stability, and low-cost advantages, enabling new possibilities in miniaturized quantum systems. Here, we provide an overview of the advances in integrated photonic chips for quantum computing, beginning with a summary of the prevalent photonic integrated platforms and key components for quantum computing systems. We then discuss a range of quantum computing applications, which are divided into two main directions: one is the Noisy Intermediate Scale Quantum (NISQ) era, and the other is towards the future universal quantum computing. Finally, the review culminates in a perspective on the challenges of high-performance chip-based quantum computing, as well as a prospect for future opportunities in integrated quantum networks.

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Publication Details

Journal
npj Nanophotonics
Published
2026-03-31
DOI
https://doi.org/10.1038/s44310-026-00114-8
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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Recent progress towards large-scale integrated photonic quantum computation

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Recent progress towards large-scale integrated photonic quantum computation

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article en

Abstract

Abstract Recent years have witnessed significant progress in quantum computing and its applications, driven by the emergence of integrated quantum photonic chips. These chips offer significant advantages of scalability, stability, and low-cost advantages, enabling new possibilities in miniaturized quantum systems. Here, we provide an overview of the advances in integrated photonic chips for quantum computing, beginning with a summary of the prevalent photonic integrated platforms and key components for quantum computing systems. We then discuss a range of quantum computing applications, which are divided into two main directions: one is the Noisy Intermediate Scale Quantum (NISQ) era, and the other is towards the future universal quantum computing. Finally, the review culminates in a perspective on the challenges of high-performance chip-based quantum computing, as well as a prospect for future opportunities in integrated quantum networks.

npj NanophotonicsVol. 3(1)
Centre for Quantum Technologies (SG), Tongji University (CN), Beijing Institute of Technology (CN), Hong Kong Polytechnic University (HK), National University of Singapore (SG), Zhejiang University of Science and Technology (CN), Nanjing University of Science and Technology (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Jinhua Academy of Agricultural Sciences (CN), Zhejiang Lab (CN), Zhejiang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Neural Networks and Reservoir Computing
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