神经网络对远程反铁磁Ising链的量子状态研究
Jicheol Kim1, Dongkyu Kim1,2, Dong-Hee Kim1
1Department of Physics and Photon Science, <a href="https://ror.org/024kbgz78">Gwangju Institute of Science and Technology</a>, Gwangju 61005, Korea.
Physical review. E
|July 18, 2024
概括
我们研究了长距离相互作用的横场Ising模型中的量子相位过渡. 临界指数和合规不变性显示出与短距离行为差异的偏差,因为相互作用在代数上衰变.
科学领域:
- 凝聚物质物理学 凝聚物质物理学
- 量子多体系统是一个量子多体系统.
- 统计力学 统计力学
背景情况:
- 横场Ising模型是凝聚物质物理学中的一个基本模型.
- 与短距离模型相比,远距离相互作用可以显著改变关键行为.
- 了解这些转变是描述各种量子相的关键.
研究的目的:
- 为了研究横向场中的量子相位过渡,以代数分解的长距离反铁磁相互作用的Ising链.
- 分析不同衰变指数对临界指数和中心电荷的影响.
- 在长距离相互作用的存在下,检查合规场论描述的有效性.
主要方法:
- 变量蒙特卡洛方法.
- 限制波兹曼机器作为一个试验波函数的替代品.
- 有限尺寸缩放分析和合规场理论测试.
主要成果:
- 临界指数和中心电荷偏离了小衰变指数 (α_LR) 的短距离Ising值.
- 关键的Binder比率的普遍性分解为α_LR < 2.
- 发现了符合性不变分解的证据,随着α_LR的下降,变得更加明显.
结论:
- 远程相互作用质量地改变横场Ising链中的量子相变.
- 当相互作用以代数方式衰变时,正规场论的描述可能不适用于所有.
- 需要进一步的研究来准确确定符合不变分解的值.
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