Litcius/Paper detail

Finite-temperature density matrix embedding theory

Chong Sun, Ushnish Ray, Zhi‐Hao Cui, Miles Stoudenmire, Michel Ferrero, Garnet Kin‐Lic Chan

2020Physical review. B./Physical review. B35 citationsDOIOpen Access PDF

Abstract

We describe a formulation of the density matrix embedding theory at finite temperature. We present a generalization of the ground-state bath orbital construction that embeds a mean-field finite-temperature density matrix up to a given order in the Hamiltonian, or the Hamiltonian up to a given order in the density matrix. We assess the performance of the finite-temperature density matrix embedding on the one-dimensional Hubbard model both at half-filling and away from it, and the two-dimensional Hubbard model at half-filling, comparing to exact data where available, as well as results from finite-temperature density matrix renormalization group, dynamical mean-field theory, and dynamical cluster approximations. The accuracy of finite-temperature density matrix embedding appears comparable to that of the ground-state theory, with, at most, a modest increase in bath size, and competitive with that of cluster dynamical mean-field theory.

Topics & Concepts

Density matrix renormalization groupHubbard modelEmbeddingDensity matrixGround stateHamiltonian (control theory)MathematicsMatrix (chemical analysis)PhysicsQuantum mechanicsMathematical physicsRenormalization groupMaterials scienceMathematical optimizationComposite materialSuperconductivityQuantumArtificial intelligenceComputer sciencePhysics of Superconductivity and MagnetismAdvanced Condensed Matter PhysicsMagnetic and transport properties of perovskites and related materials