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Non-abelian symmetries in tensor networks: A quantum symmetry space approach

机译:张量网络中的非阿贝尔对称性:量子对称空间方法

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A general framework for non-abelian symmetries is presented for matrix-product and tensor-network states in the presence of well-defined orthonormal local as well as effective basis sets. The two crucial ingredients, the Clebsch-Gordan algebra for multiplet spaces as well as the Wigner-Eckart theorem for operators, are accounted for in a natural, well-organized, and computationally straightforward way. The unifying tensor-representation for quantum symmetry spaces, dubbed QSpace, is particularly suitable to deal with standard renormalization group algorithms such as the numerical renormalization group (NRG), the density matrix renormalization group (DMRG), or also more general tensor networks such as the multi-scale entanglement renormalization ansatz (MERA). In this paper, the focus is on the application of the non-abelian framework within the NRG. A detailed analysis is presented for a fully screened spin- 3/2 three-channel Anderson impurity model in the presence of conservation of total spin, particle-hole symmetry, and SU(3) channel symmetry. The same system is analyzed using several alternative symmetry scenarios based on combinations of U(1)charge, SU(2)spin, SU(2)charge, SU(3)channel, as well as the enveloping symplectic Sp(6) symmetry. These are compared in detail, including their respective dramatic gain in numerical efficiency. In the Appendix, finally, an extensive introduction to non-abelian symmetries is given for practical applications, together with simple self-contained numerical procedures to obtain Clebsch-Gordan coefficients and irreducible operators sets. The resulting QSpace tensors can deal with any set of abelian symmetries together with arbitrary non-abelian symmetries with compact, i.e. finite-dimensional, semi-simple Lie algebras.
机译:针对存在明确定义的正交局部以及有效基集的矩阵乘积和张量网络状态,提出了非阿贝尔对称性的一般框架。这两个关键要素,即多重空间的Clebsch-Gordan代数以及算符的Wigner-Eckart定理,都是用自然,组织良好且计算简单的方式来解释的。量子对称空间的统一张量表示,称为QSpace,特别适合处理标准的重归一化组算法,例如数值重归一化组(NRG),密度矩阵重归一化组(DMRG),或者更通用的张量网络,例如多尺度纠缠重归一化ansatz(MERA)。在本文中,重点是NRG中非阿贝尔框架的应用。提出了一个完整的自旋3/2三通道安德森杂质模型的详细分析,该模型在总自旋,粒子孔对称性和SU(3)通道对称性均守恒的情况下。基于U(1)电荷,SU(2)自旋,SU(2)电荷,SU(3)通道以及包络辛Sp(6)对称性的组合,使用几种替代对称方案分析同一系统。将对它们进行详细比较,包括它们各自在数值效率上的显着提高。最后,在附录中,针对实际应用广泛介绍了非阿贝尔对称性,并给出了用于获得Clebsch-Gordan系数和不可约算子集的简单自包含数值过程。生成的QSpace张量可以处理任何集合的阿贝尔对称性以及具有紧凑即有限维,半简单李代数的任意非阿贝尔对称性。

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