Solving maximum independent set problems with a coherent Ising machine

The maximum independent set (MIS) problem is an optimization problem in graph theory and is related to various applications such as network design and resource allocation. Here we report that a coherent Ising machine based on a network of optical parametric oscillators can find large independent sets in graphs that consist of thousands of nodes faster than simulated annealing implemented many-core CPU.

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Published
2024-10-02
DOI
https://doi.org/10.1117/12.3026866
Primary Topic
Machine Learning and Algorithms
Type
article
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Solving maximum independent set problems with a coherent Ising machine

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Machine Learning and Algorithms
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Solving maximum independent set problems with a coherent Ising machine

Toshimori Honjo, Takuya Ikuta, Yuya Yonezu, Yasuhiro Yamada, Kensuke Inaba, Takahiro Inagaki, Hiroki Takesue
article en

Abstract

The maximum independent set (MIS) problem is an optimization problem in graph theory and is related to various applications such as network design and resource allocation. Here we report that a coherent Ising machine based on a network of optical parametric oscillators can find large independent sets in graphs that consist of thousands of nodes faster than simulated annealing implemented many-core CPU.

NTT Basic Research Laboratories (JP)
Openalex Percentile: Top 85%
Machine Learning and Algorithms
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