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Non-abelian symmetries in tensor networks: A quantum symmetry space approach
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Abstract 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 A Non-abelian symmetries 101 , Appendix B Numerical implementation , Appendix C Example , 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.
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Cites
Density matrix formulation for quantum renormalization groups
White, S. R. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.2863 · Cited by 7,702
The density-matrix renormalization group in the age of matrix product states
Schollwöck, U. (2011) · Annals of Physics · doi:10.1016/j.aop.2010.09.012 · Cited by 4,818
The density-matrix renormalization group
Schollwöck, U. (2005) · Reviews of Modern Physics · doi:10.1103/revmodphys.77.259 · Cited by 3,323
Classical Simulation of Infinite-Size Quantum Lattice Systems in Two Spatial Dimensions
Jordan, J., Orús, R., Vidal, G., Verstraete, F., & Cirac, J. I. (2008) · Physical Review Letters · doi:10.1103/physrevlett.101.250602 · Cited by 710
Area Laws in Quantum Systems: Mutual Information and Correlations
Wolf, M. M., Verstraete, F., Hastings, M. B., & Cirac, J. I. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.070502 · Cited by 696
Studying Two-Dimensional Systems with the Density Matrix Renormalization Group
Stoudenmire, E. M., & White, S. R. (2012) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-020911-125018 · Cited by 451
Orús, R., & Vidal, G. (2009) · Physical Review B · doi:10.1103/physrevb.80.094403 · Cited by 387
Simulating strongly correlated quantum systems with tree tensor networks
Murg, V., Verstraete, F., Legeza, Ö., & Noack, R. M. (2010) · Physical Review B · doi:10.1103/physrevb.82.205105 · Cited by 245
Contraction of fermionic operator circuits and the simulation of strongly correlated fermions
Barthel, T., Pineda, C., & Eisert, J. (2009) · Physical Review A · doi:10.1103/physreva.80.042333 · Cited by 139
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Orús, R. (2014) · Annals of Physics · doi:10.1016/j.aop.2014.06.013 · Cited by 2,255
Time-evolution methods for matrix-product states
Paeckel, S., Köhler, T., Swoboda, A., Manmana, S. R., Schollwöck, U., & Hubig, C. (2019) · Annals of Physics · doi:10.1016/j.aop.2019.167998 · Cited by 768
Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)
Hauschild, J., & Pollmann, F. (2018) · SciPost Physics Lecture Notes · doi:10.21468/scipostphyslectnotes.5 · Cited by 438
Tensor product methods and entanglement optimization for ab initio quantum chemistry
Szalay, S., Pfeffer, M., Murg, V., Barcza, G., Verstraete, F., Schneider, R., & Legeza, Ö. (2015) · International Journal of Quantum Chemistry · doi:10.1002/qua.24898 · Cited by 314
The density matrix renormalization group for ab initio quantum chemistry
Wouters, S., & Van Neck, D. (2014) · The European Physical Journal D · doi:10.1140/epjd/e2014-50500-1 · Cited by 285
Metadata
- Authors
- Weichselbaum, A.
- Venue
- Annals of Physics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 327
- Issue
- 12
- Pages
- 2972-3047
- ISSN
- 0003-4916 (ISSN-L)
- OpenAlex
- W2149287125
- Cited by
- 268
- References
- 9
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- green
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