arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.04645hep-lat
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有限密度下四维复$ϕ^4$理论的张量重整化群方法

Tensor renormalization group approach to four-dimensional complex $ϕ^4$ theory at finite density

Shinichiro Akiyama, Daisuke Kadoh, Yoshinobu Kuramashi, Takumi Yamashita, Yusuke Yoshimura

摘要:

张量网络是解决场论中负符号问题的一种有吸引力的方法。有限密度下的复$ϕ^4$理论是数值算法验证其有效性的试验平台。该模型显示了一个特征功能,称为银火焰现象与在低温下的大体积极限的符号问题。我们采用各向异性张量重整化群算法分析了四维模型。我们发现了一个明确的信号的银火焰现象上的一个大体积的$V=1024^4$,这意味着张量网络方法是有效的,甚至四维场论超过二维。

英文摘要:

Tensor network is an attractive approach to field theory with negative sign problem. The complex $ϕ^4$ theory at finite density is a test bed for numerical algorithms to verify their effectiveness. The model shows a characteristic feature called the Silver Blaze phenomenon associated with the sign problem in the large volume limit at low temperature. We analyze the four-dimensional model employing the anisotropic tensor renormalization group algorithm. We find a clear signal of the Silver Blaze phenomenon on a large volume of $V=1024^4$, which implies that the tensor network approach is effective even for four-dimensional field theory beyond two dimensions.

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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