长程反铁磁性伊辛链的神经网络量子态研究。

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Jicheol Kim, Dongkyu Kim, Dong-Hee Kim
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引用次数: 0

摘要

我们使用变异蒙特卡洛方法,以受限玻尔兹曼机作为试验波函数解析器,研究了具有代数衰减长程(LR)反铁磁相互作用的横向场伊辛链的量子相变。首先,我们通过有限尺寸缩放分析测量了临界指数和中心电荷,验证了之前张量网络研究中的对比观察结果。相关函数指数和中心电荷在衰变指数α_{LR}较小时偏离短程(SR)伊兴值,而其他临界指数无论α_{LR}大小都非常接近SR伊兴指数。然而,在进一步检验临界宾德比率时,我们发现 SR 极限的普遍比率在 α_{LR} 时并不成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural-network quantum-state study of the long-range antiferromagnetic Ising chain.

We investigate quantum phase transitions in the transverse field Ising chain with algebraically decaying long-range (LR) antiferromagnetic interactions using the variational Monte Carlo method with the restricted Boltzmann machine employed as a trial wave function ansatz. First, we measure the critical exponents and the central charge through the finite-size scaling analysis, verifying the contrasting observations in the previous tensor network studies. The correlation function exponent and the central charge deviate from the short-range (SR) Ising values at a small decay exponent α_{LR}, while the other critical exponents examined are very close to the SR Ising exponents regardless of α_{LR} examined. However, in the further test of the critical Binder ratio, we find that the universal ratio of the SR limit does not hold for α_{LR}<2, implying a deviation in the criticality. On the other hand, we find evidence of the conformal invariance breakdown in the conformal field theory (CFT) test of the correlation function. The deviation from the CFT description becomes more pronounced as α_{LR} decreases, although a precise breakdown threshold is yet to be determined.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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