A versatile coherent Ising computing platform

Coherent Ising machines (CIMs) have emerged as a hybrid form of quantum computing devices designed to solve NP-complete problems, offering an exciting opportunity for discovering optimal solutions. Despite challenges such as susceptibility to noise-induced local minima, we achieved notable advantages in improving the computational accuracy and stability of CIMs. We conducted a successful experimental demonstration of CIM via femtosecond laser pumping that integrates optimization strategies across optical and structural dimensions, resulting in significant performance enhancements. The results are particularly promising. An average success rate of 55% was achieved to identify optimal solutions within a Möbius Ladder graph comprising 100 vertices. Compared with other alternatives, the femtosecond pulse results in significantly higher peak power, leading to more pronounced quantum effects and lower pump power in optical fiber-based CIMs. In addition, we have maintained an impressive success rate for a continuous period of 8 hours, emphasizing the practical applicability of CIMs in real-world scenarios. Furthermore, our research extends to the application of these principles in practical applications such as molecular docking and credit scoring. The results presented substantiate the theoretical promise of CIMs, paving the way for their integration into large-scale practical applications.

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Publication Details

Journal
Light Science & Applications
Published
2026-01-20
DOI
https://doi.org/10.1038/s41377-025-02178-1
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
52.10

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article

A versatile coherent Ising computing platform

Hanquan Song, Putuo Guo, MingLie HU, Chuan Wang et al.
1 citations
Light Science & Applications
Quantum Computing Algorithms and Architecture
52.10
article

A versatile coherent Ising computing platform

Hanquan Song, Putuo Guo, MingLie HU, Chuan Wang, Hai Wei, Chao Ju, Jintao Fan, Bingjie Jia Bingjie Jia, Chongyu Cao, Lixin Yuan, Jie Wu, Yin Ma, Kai Wen, Chengjun Ai, Shaobo Chen
article en
1 citations

Abstract

Coherent Ising machines (CIMs) have emerged as a hybrid form of quantum computing devices designed to solve NP-complete problems, offering an exciting opportunity for discovering optimal solutions. Despite challenges such as susceptibility to noise-induced local minima, we achieved notable advantages in improving the computational accuracy and stability of CIMs. We conducted a successful experimental demonstration of CIM via femtosecond laser pumping that integrates optimization strategies across optical and structural dimensions, resulting in significant performance enhancements. The results are particularly promising. An average success rate of 55% was achieved to identify optimal solutions within a Möbius Ladder graph comprising 100 vertices. Compared with other alternatives, the femtosecond pulse results in significantly higher peak power, leading to more pronounced quantum effects and lower pump power in optical fiber-based CIMs. In addition, we have maintained an impressive success rate for a continuous period of 8 hours, emphasizing the practical applicability of CIMs in real-world scenarios. Furthermore, our research extends to the application of these principles in practical applications such as molecular docking and credit scoring. The results presented substantiate the theoretical promise of CIMs, paving the way for their integration into large-scale practical applications.

Light Science & ApplicationsVol. 15(1)
Tianjin University (CN), Beijing Normal University (CN), Beijing Academy of Quantum Information Sciences (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
52.10
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