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Abstract
We review the Bardeen-Cooper-Schrieffer mean-field theory emphasizing
its origin as a variational approximation for the grand potential. This
is done by using the Bogoliubov inequality as the starting point. Then
we write the mean-field grand potential as an explicit function of the
one-particle density matrix, which turns out to be a natural
generalization of the Mermin functional. This result opens the way for
the application to superconducting systems of the linear scaling methods
developed in the context of electronic structure theory. Finally, we
show that computing the superfluid weight from the derivatives of the
mean-field grand potential naturally leads to the generalized random
phase approximation. Our results showcase the advantage of a density
matrix-based approach and are potentially interesting for the study of
disordered superconductors and superconductors with large unit cell,
such as twisted bilayer graphene and other moiré materials.
Original language | English |
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Journal | arXiv.org |
Publication status | Submitted - 10 May 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Condensed Matter - Superconductivity
- Condensed Matter - Disordered Systems and Neural Networks
- Condensed Matter - Quantum Gases
- Condensed Matter - Statistical Mechanics
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Dive into the research topics of 'Superconductivity, generalized random phase approximation and linear scaling methods'. Together they form a unique fingerprint.Projects
- 1 Active
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SUPERFLAT: Superfluidity, topology and disorder in lattice models with flat bands
Peotta, S., Swaminathan, K., Tadros, P., Pham Nguyen, M. & Kanz, A.
01/09/2020 → 31/08/2023
Project: Academy of Finland: Other research funding