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arXiv 2409.17835cond-mat.str-elcond-mat.quant-gascond-mat.stat-mechquant-ph
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纵向磁场中量子横向伊辛模型的循环算法

Loop Algorithm for Quantum Transverse Ising Model in a Longitudinal Field

Chongqing University(重庆大学);Center of Quantum Materials and Devices, Chongqing University(重庆大学量子材料与器件中心)

Wei Xu, Xue-Feng Zhang

AI总结:

本文提出了一种适用于瑞利德原子链和柯克伍德量子比特冰的循环算法,通过新型合并-解合并过程显著提高了量子横向伊辛模型在纵向磁场下的模拟效率。

摘要:

量子横向伊辛模型及其扩展在多个领域中发挥着关键作用,如统计物理、量子磁性、量子模拟和数学物理。尽管在大多数情况下它不遭受符号问题,但相应的量子蒙特卡洛算法效率低下,尤其是在纵向磁场较大的情况下。主要障碍是缺乏一种能够显著降低蒙特卡洛步骤间自相关性的循环更新方法。在这里,我们成功开发了一种具有新型合并-解合并过程的循环算法。当将其应用于模拟瑞利德原子链和柯克伍德量子比特冰时,该算法相对于最先进的算法表现出显著优势。这种先进的算法适用于多种系统,如瑞利德原子阵列、俘获离子、量子材料和量子退火器。

英文摘要:

The quantum transverse Ising model and its extensions play a critical role in various fields, such as statistical physics, quantum magnetism, quantum simulations, and mathematical physics. Although it does not suffer from the sign problem in most cases, the corresponding quantum Monte Carlo algorithm performs inefficiently, especially at a large longitudinal field. The main hindrance is the lack of loop update method which can strongly decrease the auto-correlation between Monte Carlo steps. Here, we successfully develop a loop algorithm with a novel merge-unmerge process. It demonstrates a great advantage over the state-of-the-art algorithm when implementing it to simulate the Rydberg atom chain and Kagome qubit ice. This advanced algorithm suits various systems such as Rydberg atom arrays, trapped ions, quantum materials, and quantum annealers.

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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