在量子计算机上对资源进行元优化
Ijaz Ahamed Mohammad1, Matej Pivoluska1, Martin Plesch2,3,4,5
1Institute of Physics, Slovak Academy of Sciences, Dúbravská cesta 9, 841 04, Bratislava, Slovak Republic.
Scientific reports
|May 5, 2024
概括
这项研究介绍了混合量子-经典算法的元优化,以提高噪音中等规模量子时代的资源效率. 该方法优化量子计算机运行,用于诸如分子基态能量计算等任务.
科学领域:
- 量子计算是一种量子计算.
- 计算化学的计算化学
背景情况:
- 目前的量子计算机在杂的中级量子 (NISQ) 时代运行,量子位和操作有限.
- 在NISQ设备中的噪音很快就会删除编码的信息,将量子计算机应用限制在简短,简单的任务中,作为经典算法的子程序.
研究的目的:
- 为混合量子-经典算法提出一个一般的元优化程序.
- 通过优化利用有限的量子计算能力来提高资源效率.
主要方法:
- 为混合量子-经典算法开发了一个元优化框架.
- 通过优化对变量量子算法的资源使用来测试程序的有效性.
- 应用了计算分子基本状态能量的方法.
主要成果:
- 超优化程序有效地确定了混合算法的最佳方法.
- 在量子计算中证明了提高资源效率.
- 成功应用于一个实际的量子化学问题.
结论:
- 拟议的元优化对于最大限度地提高NISQ设备的效用至关重要.
- 高效的资源利用是近期量子应用的一个关键参数.
- 这种方法使量子子程序在复杂的古典程序中能够更有效地使用.
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