Testing the performance of tensor network renormalization algorithms
Date
2025
Authors
Partridge, Eliza
Journal Title
Journal ISSN
Volume Title
Publisher
University Of Victoria
Abstract
A variety of tensor network renormalization algorithms programmed in the julia language were compared to determine an optimum algorithm for different use cases. The theory behind these algorithms was also researched. Of the algorithms tested, TRG was the fastest and most accurate algorithm for 2D lattices at high bond dimension. For other cases, results were less clear-cut as different algorithms had different advantages. A more complete ranking of algorithms will require further analysis.
Description
Keywords
quantum algorithm, renormalization, tensor network, TRG, planar graph, Ising