在量子位空间中类似性转换电子哈密尔顿数的增长减小
Robert A Lang1,2, Aadithya Ganeshram1,2, Artur F Izmaylov1
1Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto M1C 1A4, Ontario, Canada.
Journal of chemical theory and computation
|September 16, 2023
概括
本研究介绍了一种方法,以减少分子模拟量子计算的复杂性. 该技术将哈密尔顿式中的新项最小化,使得使用更少的量子资源实现更准确的能量估计.
科学领域:
- 量子计算是一种量子计算.
- 计算化学的计算化学
- 电子结构理论 电子结构理论
背景情况:
- 变量量子Eigensolver (VQE) 受到当前量子硬件的限制.
- 预处理哈密尔顿减小了电路深度,但可以增加测量值.
研究的目的:
- 在VQE中开发一个有效的保利组采样方法.
- 为了最大限度地减少转换的哈密尔顿式和较低能量估计中的新项.
主要方法:
- 提出了一种有效的方法,用于为N个量子比特采样保利群元素.
- 实施了缓解生长的发电机选择技术.
- 在H4,N2和H2O分子系统上进行基准标记.
主要成果:
- 拟议的方法最大限度地减少了转换的哈密尔顿式中新项的出现.
- 实现了对参考状态的显著能量降低.
- 最大的能量梯度选择被证明是最有效的.
结论:
- 缓解生长的发电机选择技术对VQE具有竞争力.
- 这种方法提高了近期量子设备上的分子模拟的VQE效率.
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