在量子处理器上对大型多体哈密尔顿的克里洛夫对角化
Nobuyuki Yoshioka1,2, Mirko Amico3, William Kirby4
1Department of Applied Physics, University of Tokyo, Bunkyo-ku, Japan. ny.nobuyoshioka@gmail.com.
Nature communications
|June 24, 2025
概括
研究人员使用超导量子处理器和克里洛夫量子对角化算法来估计多体系统的低能量. 这种方法显示了指数趋同,为量子计算提供了可扩展的替代方案,而不是变量量子算法.
科学领域:
- 计算量子科学 计算量子科学
- 量子计算算法 量子计算算法
- 多体物理学的多体物理学.
背景情况:
- 估计多体系统的低能量对于计算量子科学至关重要.
- 变量量子算法在当前量子处理器上面临着融合和可扩展性的挑战.
- 需要替代方法来进行大规模的量子实验,这些实验需要在预先容错的设备上进行.
研究的目的:
- 在超导量子处理器上计算量子多体系统的自身能量.
- 探索克里洛夫量子对角化算法对量子多体系统的有效性.
- 展示一个可扩展的基态能量估计方法.
主要方法:
- 使用超导量子处理器来执行Trotterized单元演化.
- 构建了多体希尔伯特空间的子空间.
- 应用了克里洛夫量子对角化算法,类似于经典对角化.
- 在构建的子空间中,经典的对角化多体相互作用的哈密尔顿.
主要成果:
- 成功计算了量子多体系统在二维网格上的56个位点的固有能量.
- 证明了指数趋同,以估计基本状态能量.
- 在量子处理器上验证了克里洛夫量子对角化算法.
结论:
- 量子对角化算法可以补充量子系统计算的经典方法.
- 克里洛夫量子对角化算法为可扩展的量子能量估计提供了一个有希望的方法.
- 这项工作为近期量子设备上的更先进的量子模拟铺平了道路.
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