Markov entropy decomposition: a variational dual for quantum belief propagation
Abstract
We present a lower bound for the free energy of a quantum many-body system at finite temperature. This lower bound is expressed as a convex optimization problem with linear constraints, and is derived using strong subadditivity of von Neumann entropy and a relaxation of the consistency condition of local density operators. The dual to this minimization problem leads to a set of quantum belief propagation equations, thus providing a firm theoretical foundation to that approach. The minimization problem is numerically tractable, and we find good agreement with quantum Monte Carlo for the spin-half Heisenberg anti-ferromagnet in two dimensions. This lower bound complements other variational upper bounds. We discuss applications to Hamiltonian complexity theory and give a generalization of the structure theorem of Hayden, Jozsa, Petz and Winter to trees in an appendix.
Cite
@article{arxiv.1012.2050,
title = {Markov entropy decomposition: a variational dual for quantum belief propagation},
author = {David Poulin and Matthew B. Hastings},
journal= {arXiv preprint arXiv:1012.2050},
year = {2015}
}