使用影子分组对量子多体哈密尔顿的保证高效能估计
Alexander Gresch1,2, Martin Kliesch3
1Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. alexander.gresch@hhu.de.
Nature communications
|January 15, 2025
概括
我们开发了ShadowGrouping,这是一个有效的策略,可以使用单量子比特测量来估计量子多体系统的能量. 这种方法提高了准确性,并解决了量子算法中的测量瓶.
科学领域:
- 量子计算是一种量子计算.
- 计算物理 计算物理
- 量子化学 是一个量子化学.
背景情况:
- 精确的量子多体系统能量估计对于量子优势至关重要.
- 测量量力是变量量子算法中的一个重要瓶.
- 开发高效的策略对于实际的量子应用至关重要.
研究的目的:
- 为了在给定的预算范围内找到最佳的单量子比特测量策略,以准确地估计能源.
- 开发一种实用和有效的方法来克服测量瓶.
- 为了提高量子多体系统的能量估计的准确性.
主要方法:
- 建立了经验能源估计器的尾部边界.
- 开发了ShadowGrouping,将影子估计与保利字符串分组相结合.
- 绕过了最佳测量设置选择的NP难题.
主要成果:
- 影子分组证明了比最先进的方法更好的可证明和实际准确性.
- 数字实验显示了对小分子电子基态能量的增强估计.
- 该方法有效地识别了最大限度地提高能源估计的测量设置.
结论:
- 影子分组为量子多体哈密尔顿模拟中的测量瓶提供了一个有希望的解决方案.
- 这项工作提供了一种实用方法,以实现量子能量估计的更高准确性.
- 开发的战略可以加快在相关问题上获得量子优势的道路.
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