Published February 20, 2024 | Version v1
Journal article

Monte Carlo solver and renormalization of Migdal-Eliashberg spin chain

  • 1. Condensed Matter Theory Center and Joint Quantum Institute, Department of Physics, University of Maryland, College Park, Maryland 20742, USA
  • 2. Center for Correlated Matter and School of Physics, Zhejiang University, Hangzhou 310058, China

Description

Motivated by the recently developed classical spin model for the Migdal-Eliashberg theory, we develop numerical and analytical methods based on this spin-chain representation and apply these methods to the Bogoliubov-Tomachov-Morel-Anderson pairing potential, which incorporates the phonon-mediated attraction and Coulomb repulsion. We show that the Monte Carlo method with heat bath updates can efficiently obtain the gap functions even for the situations challenging for the iterative solvers, suggesting an unprecedented robust approach for solving the full nonlinear Migdal-Eliashberg theory. Moreover, we derive the renormalization of all the couplings by tracing out the high-frequency spins in the partition function. The derived analytical renormalization equations produce the well-known μ* effect for the Bogoliubov-Tomachov-Morel-Anderson pairing potential and can be generalized to other superconductivity problems. We further point out that several interesting features (e.g., sign changing in the frequency-dependent gap function) can be intuitively understood using the classical spin-chain representation for Migdal-Eliasherg theory. Our results show the advantage of using the spin-chain representation for solving Migdal-Eliashberg theory and provide new ways for tackling general superconductivity problems.

Additional details

Identifiers

DOI
10.1103/PhysRevB.109.054514;
arXiv
arXiv:2311.12094;
Crossref Funder ID
10.13039/501100001809;

Publishing Information

Journal Title
Physical Review B
Journal Volume
109
Journal Issue
5
Journal Page Range
12 pgs.
ISSN
1550-235X

Optional Information

Copyright
©2024 American Physical Society
Contract/Grant/Project number
12374124
Notes
Contact Email: yzchou@umd.edu; Contact Email: ztwang@zju.edu.cn; Record automatically processed
Funding organization
National Natural Science Foundation of China