Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing

N. Yabuki, J. Makino, T. Fukuda
{"title":"Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing","authors":"N. Yabuki, J. Makino, T. Fukuda","doi":"10.4203/ccc.5.1.7","DOIUrl":null,"url":null,"abstract":"To optimize the transportation of designated waste from the Great East Japan Earthquake, which contains radioactive material and poses risks to the environment and public safety, a cost function was formulated to create a transportation plan using quantum annealing, a computational method that specializes in solving combinatorial optimization problems. This method can be performed using actual quantum annealing machines with more than 5,000 qubits that are currently available. The study evaluates the feasibility of using quantum annealing to optimize the transportation planning of designated waste and increase efficiency while minimizing risks.","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4203/ccc.5.1.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To optimize the transportation of designated waste from the Great East Japan Earthquake, which contains radioactive material and poses risks to the environment and public safety, a cost function was formulated to create a transportation plan using quantum annealing, a computational method that specializes in solving combinatorial optimization problems. This method can be performed using actual quantum annealing machines with more than 5,000 qubits that are currently available. The study evaluates the feasibility of using quantum annealing to optimize the transportation planning of designated waste and increase efficiency while minimizing risks.
利用量子退火优化指定放射性废物运输方案
为了优化东日本大地震中含有放射性物质并对环境和公共安全构成威胁的指定废物的运输,我们制定了一个成本函数,利用量子退火(一种专门解决组合优化问题的计算方法)来创建运输计划。这种方法可以使用目前可用的超过5000个量子比特的实际量子退火机器来执行。该研究评估了利用量子退火优化指定废物运输规划的可行性,并在降低风险的同时提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信