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arXiv 2103.08563quant-phcond-mat.str-el
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量子硬件上超紧致哈密顿量本征态的实时演化方法

Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware

Katherine Klymko, Carlos Mejuto-Zaera, Stephen J. Cotton, Filip Wudarski, Miroslav Urbanek, Diptarka Hait, Martin Head-Gordon, K. Birgitta Whaley, Jonathan Mous… 展开作者

Katherine Klymko, Carlos Mejuto-Zaera, Stephen J. Cotton, Filip Wudarski, Miroslav Urbanek, Diptarka Hait, Martin Head-Gordon, K. Birgitta Whaley, Jonathan Moussa, Nathan Wiebe, Wibe A. de Jong, Norm M. Tubman

AI总结:

本研究详细分析了基于实时演化的变分量子相位估计(VQPE)方法,推导其理论基础,提出幺正表述以优化测量复杂度并分析噪声影响,通过硬件演示与强关联体系算例验证了其高效求解多体系统本征态的能力。

摘要:

在本研究中,我们对变分量子相位估计(VQPE)进行了详细分析,这是一种基于实时演化、适用于近期硬件的基态与激发态估计方法。我们推导了该方法的理论基础,并证明它是目前求解强关联哈密顿量最紧致的变分展开方法之一。VQPE的核心是一组具有简洁几何解释的方程,它给出了时间演化网格的约束条件,可从时间演化展开态集合中解耦出各本征态,同时将该方法与经典滤波对角化算法关联起来。此外,我们提出了VQPE的幺正表述,其中需要测量的矩阵元数量与展开态数量呈线性缩放关系,我们还分析了噪声的影响,大幅改进了此前的相关研究结论。这种幺正表述可直接与迭代相位估计进行对比。我们的研究结果表明,VQPE是一种适用于一般多体系统基态和激发态计算的天然且高效的量子算法。我们在横向场Ising模型上实现了VQPE的硬件演示。此外,我们在一个强关联的典型示例(SVP基组下的Cr₂体系)中验证了该方法的效力,结果表明仅需约50个时间步长即可达到化学精度。

英文摘要:

In this work we present a detailed analysis of variational quantum phase estimation (VQPE), a method based on real-time evolution for ground and excited state estimation on near-term hardware. We derive the theoretical ground on which the approach stands, and demonstrate that it provides one of the most compact variational expansions to date for solving strongly correlated Hamiltonians. At the center of VQPE lies a set of equations, with a simple geometrical interpretation, which provides conditions for the time evolution grid in order to decouple eigenstates out of the set of time evolved expansion states, and connects the method to the classical filter diagonalization algorithm. Further, we introduce what we call the unitary formulation of VQPE, in which the number of matrix elements that need to be measured scales linearly with the number of expansion states, and we provide an analysis of the effects of noise which substantially improves previous considerations. The unitary formulation allows for a direct comparison to iterative phase estimation. Our results mark VQPE as both a natural and highly efficient quantum algorithm for ground and excited state calculations of general many-body systems. We demonstrate a hardware implementation of VQPE for the transverse field Ising model. Further, we illustrate its power on a paradigmatic example of strong correlation (Cr2 in the SVP basis set), and show that it is possible to reach chemical accuracy with as few as ~50 timesteps.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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