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arXiv 2302.04698quant-phcond-mat.str-elcond-mat.supr-con
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量子多体晶格模型的 Suzuki-Trotter 分解的量子模拟成本

Quantum simulation costs for Suzuki-Trotter decomposition of quantum many-body lattice models

Nathan M. Myers, Ryan Scott, Kwon Park, Vito W. Scarola

AI总结:

本文提出基于一阶对易子标度计算 Trotter 步数上界的形式化方法,并应用于 Hubbard 与 t-J 模型,发现考虑参数和误差后 t-J 模型在量子模拟成本上具有显著优势。

摘要:

量子计算机提供了高效模拟量子系统动力学的潜力,而在经典设备上,这一任务的难度随系统规模呈指数级增长。为了评估近期量子计算机模拟多体系统的潜力,我们发展了一种形式化方法,基于一阶对易子标度,直接计算准确模拟费米子晶格模型时间演化所需的 Trotter 步数上界。我们将该形式化方法应用于凝聚态物理中两个密切相关的多体模型,即 Hubbard 模型和 t-J 模型。我们发现,尽管对 Trotter 深度的朴素比较起初似乎有利于 Hubbard 模型,但仔细考虑模型参数和精确模拟所允许的误差后,t-J 模型具有显著优势。这些结果和形式化方法为显著降低量子模拟成本奠定了基础。

英文摘要:

Quantum computers offer the potential to efficiently simulate the dynamics of quantum systems, a task whose difficulty scales exponentially with system size on classical devices. To assess the potential for near-term quantum computers to simulate many-body systems we develop a formalism to straightforwardly compute bounds on the number of Trotter steps needed to accurately simulate the time evolution of fermionic lattice models based on the first-order commutator scaling. We apply this formalism to two closely related many-body models prominent in condensed matter physics, the Hubbard and t-J models. We find that, while a naive comparison of the Trotter depth first seems to favor the Hubbard model, careful consideration of the model parameters and the allowable error for accurate simulation leads to a substantial advantage in favor of the t-J model. These results and formalism set the stage for significant improvements in quantum simulation costs.

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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