参数格局在哈特里-福克量子计算基准中的作用
Ruben Van der Stichelen1, Robbe Bohy2, Patrick Bultinck1
1Ghent University, Department of Chemistry, Ghent Quantum Chemistry Group, Krijgslaan 289 (S3), B-9000 Ghent, Belgium.
The Journal of chemical physics
|February 19, 2026
概括
对于Hartree-Fock计算的量子计算机的基准测试需要评估整个参数格局,而不仅仅是单个状态. 噪音会影响所有参数的准确性,即使有错误减轻.
科学领域:
- 量子计算是一种量子计算.
- 计算化学是一种计算化学.
- 量子算法中的量子算法
背景情况:
- 谷歌AI Quantum此前曾使用误差缓解对Sycamore量子处理器进行了对Hartree-Fock解决方案的基准测试.
- 对像哈特里-福克这样的量子算法进行准确的基准测试需要评估整个参数空间,而不仅仅是特定的解决方案.
研究的目的:
- 在Hartree-Fock优化过程中,在单个斯莱特定量量子电路的全参数景观中描述噪声诱导的错误.
- 为了评估整个轨道旋转景观中的忠实度和噪声诱导错误的均性.
主要方法:
- 使用了谷歌西卡莫尔量子处理器.
- 采用了广泛的错误缓解策略.
- 分析了哈特里-福克优化电路的完整参数格局.
主要成果:
- 噪音诱导的误差和忠实性在整个轨道旋转景观中并不均,即使有误差缓解.
- 一个单一状态的准确性并不代表整个变量空间的准确性.
- 在参数格局中确定了能量和总旋转精度的显著变化.
结论:
- 参数化量子电路的基准测试需要对完整的参数格局进行全面分析.
- 当前的误差缓解策略不能保证在变化空间中的所有可能状态中均的准确性.
- 需要采用整体方法来衡量量子计算在存在噪声的情况下的整体准确性.
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