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Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems

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dc.contributor.authorSi, Jia-
dc.contributor.authorYang, Shuhan-
dc.contributor.authorCen, Yunuo-
dc.contributor.authorChen, Jiaer-
dc.contributor.authorHuang, Yingna-
dc.contributor.authorYao, Zhaoyang-
dc.contributor.authorKim, Dong-Jun-
dc.contributor.authorCai, Kaiming-
dc.contributor.authorYoo, Jerald-
dc.contributor.authorFong, Xuanyao-
dc.contributor.authorYang, Hyunsoo-
dc.date.accessioned2024-05-08T01:04:18Z-
dc.date.available2024-05-08T01:04:18Z-
dc.date.created2024-05-03-
dc.date.issued2024-
dc.identifier.citationNature Communications, Vol.15 No.1-
dc.identifier.urihttps://hdl.handle.net/10371/201061-
dc.description.abstractThe growth of artificial intelligence leads to a computational burden in solving non-deterministic polynomial-time (NP)-hard problems. The Ising computer, which aims to solve NP-hard problems faces challenges such as high power consumption and limited scalability. Here, we experimentally present an Ising annealing computer based on 80 superparamagnetic tunnel junctions (SMTJs) with all-to-all connections, which solves a 70-city traveling salesman problem (TSP, 4761-node Ising problem). By taking advantage of the intrinsic randomness of SMTJs, implementing global annealing scheme, and using efficient algorithm, our SMTJ-based Ising annealer outperforms other Ising schemes in terms of power consumption and energy efficiency. Additionally, our approach provides a promising way to solve complex problems with limited hardware resources. Moreover, we propose a cross-bar array architecture for scalable integration using conventional magnetic random-access memories. Our results demonstrate that the SMTJ-based Ising computer with high energy efficiency, speed, and scalability is a strong candidate for future unconventional computing schemes.-
dc.language영어-
dc.publisherNature Publishing Group-
dc.titleEnergy-efficient superparamagnetic Ising machine and its application to traveling salesman problems-
dc.typeArticle-
dc.identifier.doi10.1038/s41467-024-47818-z-
dc.citation.journaltitleNature Communications-
dc.identifier.scopusid2-s2.0-85191299343-
dc.citation.number1-
dc.citation.volume15-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorYoo, Jerald-
dc.type.docTypeArticle-
dc.description.journalClass1-
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부교수
  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area Biomedical Applications, Energy-Efficient Integrated Circuits

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