A versatile coherent Ising computing platform

doi:10.1038/s41377-025-02178-1

Return

A versatile coherent Ising computing platform

2026-01-20

Hai Wei *

Chengjun Ai

Putuo Guo

Bingjie Jia Bingjie Jia

DOI：10.1038/s41377-025-02178-1

Original

Save

View PDF

Abstract

En 中文

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. We conducted an experimental demonstration of coherent Ising machine via femto-second laser pumping that integrates optimization strategies across optical and structural dimensions, resulting in significant performance enhancements.

Keywords:

Coherent Ising Machine

femtosecond laser pumping

optimization strategies

NP-complete problems

quantum computing

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.