Recent progress towards large-scale integrated photonic quantum computation

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Authors: Huihui Zhu, Tian Chen, Haoran Ma, Zichao Zhao, Jia GUO, Qishen Liang, Yawen Tu, Tao He, Wei Luo, Bo Wang, Qinghua Song, Chaoyuan Jin
+6 more Feng LIU, Yihao Yang, Yuehai Wang, Kwek Chuan Leong, DAWEI WANG, Jianyi Yang
Cited by: 6
References: 295

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.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Photonic and Optical Devices Quantum Computing Algorithms and Architecture

Publication details

Journal / source
npj Nanophotonics
Publisher
Springer Science and Business Media LLC
Volume
3
Issue
1
Publication date
31 March 2026
Language
EN