Derivation of the Ghost Gutzwiller Approximation from Quantum Embedding principles: the Ghost Density Matrix Embedding Theory
ORAL
Abstract
We outline the derivation of the Ghost Gutzwiller Approximation (gGA) from principles closely related to those in Density Matrix Embedding Theory (DMET). This derivation emphasizes the crucial role of ghost degrees of freedom and provides a conceptual connection between DMET and gGA. We also outline recent progress in exploiting the quantum-embedding algorithmic structure of this framework to reduce its computational cost.
* This work was supported by a grant from the Simons Foundation (1030691, NL), and by the the Novo Nordisk Foundation through the Exploratory Interdisciplinary Synergy Programme project NNF19OC0057790. .
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Publication: Nicola Lanatà, "Derivation of the Ghost Gutzwiller Approximation from Quantum Embedding principles: the Ghost Density Matrix Embedding Theory", arXiv:2305.11895 (2023).
Presenters
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Nicola Lanata
Rochester Institute of Technology
Authors
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Nicola Lanata
Rochester Institute of Technology