面向量子化学的高效量子计算:通过跨相关和自适应的替代技术减少电路复杂性.
Erika Magnusson1, Aaron Fitzpatrick2, Stefan Knecht2
1Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden. martin.rahm@chalmers.se.
Faraday discussions
|July 31, 2024
概括
这项研究通过将跨相关 (TC) 方法与自适应量子算法相结合,减少了噪音较大的量子计算机的量子电路深度. 这提高了对噪声的抵抗力和量子化学计算的准确性.
科学领域:
- 量子计算是一种量子计算.
- 计算化学计算化学
- 量子算法 量子算法 量子算法
背景情况:
- 量子计算机的实用性受到硬件噪声的限制.
- 降低电路深度是混合量子算法中噪声弹性的关键.
研究的目的:
- 为了展示一种减少量子电路深度的方法.
- 为了提高量子化学模拟中的噪声弹性和准确性.
主要方法:
- 结合跨相关 (TC) 方法与自适应量子方法.
- 实施了TC-AVQITE方法用于变量量子想象时间演变.
- 计算了H4,LiH和H2O的基本状态能量.
主要成果:
- 获得的能量接近H4,LiH和H2O的完整基础设置 (CBS) 极限.
- 显著减少了电路深度和所需的操作人员数量.
- 证明了较好的抗噪能力和加速的融合.
结论:
- 结合的TC-AVQITE方法产生了紧,抗噪声的量子电路.
- 这种方法使得准确的量子化学结果接近CBS极限.
- 这种方法更容易优化,并且对噪声更有稳定性.
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