Finite Temperature Matrix Product State Algorithms and Applications
Abstract
We review the basic theory of matrix product states (MPS) as a numerical variational ansatz for time evolution, and present two methods to simulate finite temperature systems with MPS: the ancilla method and the minimally entangled typical thermal state (METTS) method. A sample calculation with the Bose–Hubbard model is provided.
Notes
Acknowledgements
We acknowledge useful discussions with Juan José García Ripoll and Miles Stoudenmire. This work was supported by the National Science Foundation under Grant PHY-0903457. MLW thanks the Boulder Summer School for Condensed Matter for stimulating discussions. We also acknowledge the Golden Energy Computing Organization at the Colorado School of Mines for the use of resources acquired with financial assistance from the National Science Foundation and the National Renewable Energy Laboratories.
References
- 1.White, S.R.: Density matrix formulation for quantum renormalization groups. Phys. Rev. Lett. 69, 2863 (1992)CrossRefADSGoogle Scholar
- 2.Klumper, A., Schadschneider, A., Zittartz, J.: Equivalence and solution of anisotropic spin-1 models and generalized t-J fermion models in one dimension. J. Phys. A 24, L955 (1991)CrossRefADSMathSciNetGoogle Scholar
- 3.Fannes, M., Nachtergaele, B., Werner, R.F.: Finitely correlated states on quantum spin chains. Commun. Math. Phys. 144, 443 (1992)CrossRefADSMATHMathSciNetGoogle Scholar
- 4.Östlund, S., Rommer, S.: Thermodynamic limit of density matrix renormalization. Phys. Rev. Lett. 75, 3537 (1995)CrossRefADSGoogle Scholar
- 5.Rommer, S., Östlund, S.: Class of ansatz wave functions for one-dimensional spin systems and their relation to the density matrix renormalization group. Phys. Rev. B 55, 2164 (1997)CrossRefADSGoogle Scholar
- 6.Vidal, G.: Efficient simulation of one-dimensional quantum many-body systems. Phys. Rev. Lett. 93, 040502 (2004)CrossRefADSGoogle Scholar
- 7.Daley, A.J., Kollath, C., Schollwöck, U., Vidal, G.: Time-dependent density-matrix renormalization-group using adaptive effective Hilbert spaces. J. Stat. Mech. 2004, P04005 (2004)Google Scholar
- 8.Verstraete, F., Porras, D., Cirac, J.I.: Density matrix renormalization group and periodic boundary conditions: A quantum information perspective. Phys. Rev. Lett. 93, 227205 (2004)CrossRefADSGoogle Scholar
- 9.Verstraete, F., García-Ripoll, J.J., Cirac, J.I.: Matrix product density operators: Simulation of finite-temperature and dissipative systems. Phys. Rev. Lett. 93, 207204 (2004)CrossRefADSGoogle Scholar
- 10.Zwolak, M., Vidal, G.: Mixed-state dynamics in one-dimensional quantum lattice systems: A time-dependent superoperator renormalization algorithm. Phys. Rev. Lett. 93, 207205 (2004)CrossRefADSGoogle Scholar
- 11.Perez-Garcia, D., Verstraete, F., WolF, M.M., Cirac, J.I.: Matrix product state representations. Quantum Inf. Comput. 7, 401 (2007)MATHMathSciNetGoogle Scholar
- 12.Verstraete, F., Cirac, J.I.: Matrix product states represent ground states faithfully. Phys. Rev. B 73, 094423 (2006)CrossRefADSGoogle Scholar
- 13.Pippan, P., White, S.R., Evertz, H.G.: Efficient matrix-product state method for periodic boundary conditions. Phys. Rev. B 81, 081103 (2010)CrossRefADSGoogle Scholar
- 14.Pirvu, B., Murg, V., Cirac, J.I., Verstraete, F.: Matrix product operator representations. New J. Phys. 12, 025012 (2010)CrossRefADSMathSciNetGoogle Scholar
- 15.McCulloch, I.P.: From density-matrix renormalization group to matrix product states. J. Stat. Mech. 2007, P10014 (2007)Google Scholar
- 16.Stoudenmire, E.M., White, S.R.: Minimally entangled typical thermal state algorithms. New J. Phys. 12, 055026 (2010)CrossRefADSGoogle Scholar
- 17.García-Ripoll, J.J.: Time evolution of matrix product states. New J. Phys. 8, 305 (2006)CrossRefGoogle Scholar
- 18.Feiguin, A.E., White, S.R.: Finite-temperature density matrix renormalization using an enlarged Hilbert space. Phys. Rev. B 72, 220401 (2005)CrossRefADSGoogle Scholar
- 19.Nielsen, M., Chuang, I.: Quantum Computation and Quantum Information. Cambridge University Press, Cambridge (2000)MATHGoogle Scholar
- 20.White, S.R.: Minimally entangled typical quantum states at finite temperature. Phys. Rev. Lett. 102, 190601 (2009)CrossRefADSMathSciNetGoogle Scholar
- 21.Vidal, G.: Efficient classical simulation of slightly entangled quantum computations. Phys. Rev. Lett. 91, 147902 (2003)CrossRefADSGoogle Scholar
- 22.Feiguin, A.E., Fiete, G.A.: Spectral properties of a spin-incoherent Luttinger liquid. Phys. Rev. B 81, 075108 (2010)CrossRefADSGoogle Scholar
- 23.Liang, S., Pang, H.: Approximate diagonalization using the density matrix renormalization-group method: A two-dimensional-systems perspective. Phys. Rev. B 49, 9214 (1994)CrossRefADSGoogle Scholar
- 24.White, S.R., Scalapino, D.J.: Pairing on striped t − t′ − J lattices. Phys. Rev. B 79, 220504 (2009)CrossRefADSGoogle Scholar
- 25.Verstraete, F., Cirac, J.I.: Renormalization algorithms for quantum many-body systems in two and higher dimensions (2004) [arXiv:cond-mat/0407066v1]Google Scholar
- 26.Schuch, N., Wolf, M.M., Verstraete, F., Cirac, J.I.: Simulation of quantum many-body systems with strings of operators and monte carlo tensor contractions. Phys. Rev. Lett. 100, 040501 (2008)CrossRefADSMathSciNetGoogle Scholar
- 27.Evenbly, G., Vidal, G.: Entanglement renormalization in two spatial dimensions. Phys. Rev. Lett. 102, 180406 (2009)CrossRefADSGoogle Scholar