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量子硬件使用VQE估计分子能量的局限性
Abel Carreras1, Román Orús1,2,3, David Casanova1,2
1Donostia International Physics Center (DIPC), 20018 Donostia, Euskadi, Spain. abelcarreras83@gmail.com.
Physical chemistry chemical physics : PCCP
|January 13, 2026
概括
变量量子自溶解器 (VQE) 对量子化学具有前景,但目前的硬件面临局限性. 噪音和硬件限制阻止了精确的分子能量计算,需要未来的实际应用的进展.
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:
- 变量量子自溶解器 (VQE) 是电子结构问题的关键量子算法.
- 噪音中等规模量子 (NISQ) 时代为VQE实施带来了挑战.
- 准确地确定分子基态能量对于量子化学至关重要.
研究的目的:
- 调查当前量子硬件的VQE能力和局限性.
- 专注于自适应衍生组装的伪Trotter替代品VQE (ADAPT-VQE).
- 评估量子噪声和硬件限制对准确性的影响.
主要方法:
- 探索了简化分子哈密尔顿式的策略.
- 优化了替代和经典参数优化 (COBYLA).
- 实施量身定制的量子计算以尽量减少电路深度和成本,在使用的IBM量子计算机上进行了测试.
主要成果:
- 对VQE的实施进行了优化.
- 当前的量子硬件噪声对状态准备和能量测量产生重大影响.
- 取得的准确性不足以提供可靠的量子化学洞察力.
结论:
- 目前量子硬件的局限性,主要是噪声,阻止了VQE的精确分子能量计算.
- 未来的量子硬件必须满足可扩展量子化学的特定要求.
- 这项研究评估了真实硬件上的VQE,突出了噪音和准确性挑战.
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