Householder transformed density matrix functional embedding theory
Sajanthan Sekaran, Masahisa Tsuchiizu, Matthieu Sauban\`ere, and, Emmanuel Fromager

TL;DR
This paper introduces a new quantum embedding method based on the Householder transformation that accurately captures electron correlation effects in lattice models, improving upon existing density matrix embedding techniques.
Contribution
The paper presents Householder transformed density matrix functional embedding theory (Ht-DMFET), a novel approach that preserves the single-particle character and simplifies the embedding process compared to traditional methods.
Findings
Per-site energies match Bethe Ansatz results in half-filled 1D Hubbard model.
Results deteriorate away from half-filling due to electron number fluctuations.
Increasing the number of impurities improves energy accuracy.
Abstract
Quantum embedding based on the (one-electron reduced) density matrix is revisited by means of the unitary Householder transformation. While being exact and equivalent to (but formally simpler than) density matrix embedding theory (DMET) in the non-interacting case, the resulting Householder transformed density matrix functional embedding theory (Ht-DMFET) preserves, by construction, the single-particle character of the bath when electron correlation is introduced. In Ht-DMFET, the projected "impurity+bath" cluster's Hamiltonian (from which approximate local properties of the interacting lattice can be extracted) becomes an explicit functional of the density matrix. In the spirit of single-impurity DMET, we consider in this work a closed (two-electron) cluster constructed from the full-size non-interacting density matrix. When the (Householder transformed) interaction on the bath site is…
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