Quantum algorithms for classical lattice models

We give efficient quantum algorithms to estimate the partition function of (i) the six-vertex model on a two-dimensional (2D) square lattice, (ii) the Ising model with magnetic fields on a planar graph, (iii) the Potts model on a quasi-2D square lattice and (iv) the Z2 lattice gauge theory on a 3D s...

ver descrição completa

Detalhes bibliográficos
Autores: Cuevas, Gemma de las, Dür, W., Van den Nest, M., Martin-Delgado, Miguel Ángel
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/71752
Acesso em linha:http://hdl.handle.net/10230/71752
http://dx.doi.org/10.1088/1367-2630/13/9/093021
Access Level:acceso abierto
Palavra-chave:Algorismes
Computació quàntica
Física
Descrição
Resumo:We give efficient quantum algorithms to estimate the partition function of (i) the six-vertex model on a two-dimensional (2D) square lattice, (ii) the Ising model with magnetic fields on a planar graph, (iii) the Potts model on a quasi-2D square lattice and (iv) the Z2 lattice gauge theory on a 3D square lattice. Moreover, we prove that these problems are BQP-complete, that is, that estimating these partition functions is as hard as simulating arbitrary quantum computation. The results are proven for a complex parameter regime of the models. The proofs are based on a mapping relating partition functions to quantum circuits introduced by Van den Nest et al (2009 Phys. Rev. A 80 052334) and extended here.