在阿基米德格子动物园的角转移矩阵重规范化小组方法
1Karazin Kharkiv National University, Svobody Square 4, 61022 Kharkiv, Ukraine and Akhiezer Institute for Theoretical Physics, NSC KIPT, Akademichna 1, 61108 Kharkiv, Ukraine.
Physical review. E
|May 17, 2024
概括
我们介绍了一种新的张量网络收缩方法,用于各种2D格子几何体,使用角转移矩阵重规范化组. 这种方法准确地模拟了伊辛模型,并显示了量子格子系统的潜力.
科学领域:
- 凝聚物质物理学 凝聚物质物理学
- 计算物理 计算物理
背景情况:
- 张量网络方法对于模拟量子多体系统至关重要.
- 角转移矩阵重规范化组 (CTMRG) 是2D系统的强大技术.
- 对于复杂的格子几何形状,需要有效的收缩算法.
研究的目的:
- 在CTMRG框架内开发一个通用的方法来收缩张量网络.
- 将这些方法适应各种二维格子结构.
- 通过使用经典的伊辛格模型验证该方法,并探索其对量子模型的适用性.
主要方法:
- 开发新的张量网络收缩算法.
- 角转移矩阵重规范化组 (CTMRG) 方法的应用.
- 对不同格子 (三角形,kagome,蜂巢等) 的经典伊辛格模型进行基准测试. ) 的情况.
主要成果:
- 成功实施了一种多功能张量网络收缩方法.
- 通过在多个格子上复制Ising模型的已知结果来证明准确性.
- 对复杂几何学的CTMRG方法的验证.
结论:
- 开发的基于CTMRG的方法为张量网络收缩提供了一个强大的工具.
- 这种方法对于经典模型来说是准确的,对于量子晶格模拟来说是有前途的.
- 这项工作将CTMRG的适用性扩展到更广泛的2D系统.
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