On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Stoian, Mihail, Milbradt, Richard, Mendl, Christian B.
Format: Preprint
Publié: 2022
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866913536104464384
author Stoian, Mihail
Milbradt, Richard
Mendl, Christian B.
author_facet Stoian, Mihail
Milbradt, Richard
Mendl, Christian B.
contents The contraction cost of a tensor network depends on the contraction order. However, the optimal contraction ordering problem is known to be NP-hard. We show that the linear contraction ordering problem for tree tensor networks admits a polynomial-time algorithm, by drawing connections to database join ordering. The result relies on the adjacent sequence interchange property of the contraction cost, which enables a global decision of the contraction order based on local comparisons. Based on that, we specify a modified version of the IKKBZ database join ordering algorithm to find the optimal tree tensor network linear contraction order. Finally, we extend our algorithm as a heuristic to general contraction orders and arbitrary tensor network topologies.
format Preprint
id arxiv_https___arxiv_org_abs_2209_12332
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond
Stoian, Mihail
Milbradt, Richard
Mendl, Christian B.
Quantum Physics
Databases
Data Structures and Algorithms
The contraction cost of a tensor network depends on the contraction order. However, the optimal contraction ordering problem is known to be NP-hard. We show that the linear contraction ordering problem for tree tensor networks admits a polynomial-time algorithm, by drawing connections to database join ordering. The result relies on the adjacent sequence interchange property of the contraction cost, which enables a global decision of the contraction order based on local comparisons. Based on that, we specify a modified version of the IKKBZ database join ordering algorithm to find the optimal tree tensor network linear contraction order. Finally, we extend our algorithm as a heuristic to general contraction orders and arbitrary tensor network topologies.
title On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond
topic Quantum Physics
Databases
Data Structures and Algorithms
url https://arxiv.org/abs/2209.12332