Bibliographic Details
| Title: |
Improved coarse-graining methods on two dimensional tensor networks including fermions |
| Authors: |
Asaduzzaman, Muhammad, Catterall, Simon, Meurice, Yannick, Sakai, Ryo, Toga, Goksu Can |
| Source: |
JHEP 01 (2023) 024 |
| Publication Year: |
2022 |
| Collection: |
High Energy Physics - Lattice |
| Subject Terms: |
High Energy Physics - Lattice |
| More Details: |
We show how to apply renormalization group algorithms incorporating entanglement filtering methods and a loop optimization to a tensor network which includes Grassmann variables which represent fermions in an underlying lattice field theory. As a numerical test a variety of quantities are calculated for two dimensional Wilson--Majorana fermions and for the two flavor Gross--Neveu model. The improved algorithms show much better accuracy for quantities such as the free energy and the determination of Fisher's zeros.
Comment: 21 pages, 21 figures |
| Document Type: |
Working Paper |
| DOI: |
10.1007/JHEP01(2023)024 |
| Access URL: |
http://arxiv.org/abs/2210.03834 |
| Accession Number: |
edsarx.2210.03834 |
| Database: |
arXiv |
