对于最近邻居合规问题的量子化.
Sven Müller1, Frank Phillipson2,3
1School of Business and Economics, Maastricht University, Minderbroedersberg 4, 6211 LK, Maastricht, The Netherlands.
Scientific reports
|October 7, 2024
概括
量子化提供了一种有前途的方法来解决量子计算中的近邻合规 (NNC) 问题. 然而,当前量子硬件的局限性,特别是发现嵌入式,阻碍了其实际应用.
科学领域:
- 量子计算是一种量子计算.
- 计算复杂性 计算复杂性
- 量子信息科学 量子信息科学
背景情况:
- 基于门的量子计算机有限制,量子门必须在相邻的量子比特上运行.
- 最接近邻居合规 (NNC) 问题通过优化SWAP-gate插入来解决这些限制.
- 尽量减少SWAP门数量对于高效的量子计算至关重要.
研究的目的:
- 探索量子化用于解决NNC问题的应用.
- 为NNC提出和评估新的二次式不受约束的优化问题表述.
- 为了比较量子化与NNC的现有方法的性能.
主要方法:
- 制定了两个为NNC问题量身定制的二次无约束优化问题.
- 使用当代的量子化器来测试拟议的配方.
- 与NNC之前的方法相比,对量子化方法进行了比较.
主要成果:
- 量子化证明了解决NNC问题的有前途潜力.
- 拟议的配方在当前的量子回火硬件上进行了测试.
- 性能比较表明了量子化方法的可行性.
结论:
- 量子化是解决量子计算中近邻合规问题的有前途的技术.
- 实际实施的主要限制是当前硬件能够找到高效嵌入的能力.
- 需要在量子硬件方面取得进一步的进步,才能充分实现量子化对NNC的好处.
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