基于量子计算的量子启发算法对结构结构的分析分析的Qubit采用方法.
Donwoo Lee1, Seungjae Lee1, Sudeok Shon1
1School of Industrial Design & Architectural Engineering, Korea University of Technology & Education, 1600 Chungjeol-ro, Byeongcheon-myeon, Cheonan 31253, Republic of Korea.
Biomimetics (Basel, Switzerland)
|January 22, 2024
概括
本研究介绍了用于结构工程的量子计算 (QC) 的元启发学,将基于量子的和搜索 (QbHS) 应用到托管拓优化 (TTO). 新的方法改善了对传统算法的融合,推进了架构和计算机信息系统.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 物理 物理学 物理
背景情况:
- 量子计算 (QC) 是第四次工业革命的一个关键技术.
- 使用QC的元启发算法主要是在计算机工程中开发的.
- 质量控制在建筑最佳设计中的应用有限.
研究的目的:
- 提出和评估将量子位集成到基于量子的和搜索 (QbHS) 算法中的新方法.
- 将这些方法应用于结构工程中的结构拓优化 (TTO).
- 为了比较不同量子比特采用策略的性能.
主要方法:
- 开发了四种不同的方法来采用量子比特在QbHS算法的调节.
- 应用了修改后的QbHS算法来解决拓优化 (TTO) 问题.
- 分析了基于量子比特采用和代数的融合性能.
主要成果:
- 与传统的和搜索 (HS) 算法相比,所有四种提出的方法都表现出优越的融合性能.
- 在四种量子比特采用方法中,融合性能各不相同.
- 采用的量子比特数量通常保持稳定或随着代的变化而减少.
结论:
- 整合QC元启发学,特别是QbHS与量子比特采用,显示了结构工程最佳设计的希望.
- 这些进步预计将有利于建筑设计和计算机信息系统.
- 进一步的研究可以探索QC在工程优化中的各种应用.
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