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Tensor renormalization group approach to four-dimensional complex ϕ4 theory at finite density

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

2020Journal of High Energy Physics38 citationsDOIOpen Access PDF

Abstract

A bstract Tensor network is an attractive approach to the 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 with a parallel computation. 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.

Topics & Concepts

PhysicsSign (mathematics)Tensor (intrinsic definition)Limit (mathematics)Renormalization groupRenormalizationMathematical physicsTensor fieldAnisotropyField (mathematics)Field theory (psychology)Functional renormalization groupFinite volume methodTheoretical physicsExact solutions in general relativityStatistical physicsFeature (linguistics)Quantum mechanicsScalar–tensor theoryGroup (periodic table)Density matrix renormalization groupPhenomenonEffective field theoryQuantum electrodynamicsQuantum field theoryDimensional reductionQuantum many-body systemsTheoretical and Computational PhysicsBlack Holes and Theoretical Physics