拓扑激励驱动的热力学相变及其张量网络方法

None Song Feng-Feng, None Zhang Guang-Ming
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引用次数: 0

摘要

相和相变的基本概念构成了我们理解物理宇宙的基石。相变理论从朗道的自发对称性破缺范式发展到现代拓扑相变理论,是众多科学学科发展史上的一个重要里程碑。从涌现哲学的角度来看,拓扑激励的相互作用导致了丰富的物理现象。一个突出的原型是Berezinskii-Kosterlitz-Thouless (BKT)相变,在没有连续的<i>U</i>(1)对称性的自发破缺的情况下,整数涡旋的解结发生。利用最先进的张量网络方法,将二维<i>XY</i>相关系统的配分函数表示为一维传递算子的乘积。从一维传递算子的纠缠熵的奇异性出发,我们精确地确定了完整的相图。该方法为拓扑激励驱动的涌现现象提供了新的见解,并为具有连续对称性的二维系统的未来研究提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermodynamic phase transition driven by topological excitations and their tensor network approach
The fundamental concepts of phases and phase transitions constitute the cornerstone of our understanding of the physical universe. The historical development of the phase transition theory from Landau's spontaneous symmetry breaking paradigm to modern topological phase transition theories represents a major milestone in the evolution of numerous scientific disciplines. From the perspective of emergent philosophy, the interplay of topological excitations leads to enriched physical phenomena. One prominent prototype is the Berezinskii-Kosterlitz-Thouless (BKT) phase transition, where unbinding of integer vortices occurs in the absence of spontaneous breaking of continuous U(1) symmetry. Using the state-of-the-art tensor network methods, we express the partition function of the two-dimensional XY-related system in terms of a product of one-dimensional transfer operators. From the singularities of the entanglement entropy of the one-dimensional transfer operator, we accurately determine the complete phase diagram. This method provides new insights into the emergent phenomenon driven by topological excitations, and sheds new light on future studies of 2D systems with continuous symmetries.
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