The performance of the quantum adiabatic algorithm on random instances of two optimization problems on regular hypergraphs
Abstract
In this paper we study the performance of the quantum adiabatic algorithm on random instances of two combinatorial optimization problems, 3-regular 3-XORSAT and 3-regular Max-Cut. The cost functions associated with these two clause-based optimization problems are similar as they are both defined on 3-regular hypergraphs. For 3-regular 3-XORSAT the clauses contain three variables and for 3-regular Max-Cut the clauses contain two variables. The quantum adiabatic algorithms we study for these two problems use interpolating Hamiltonians which are stoquastic and therefore amenable to sign-problem free quantum Monte Carlo and quantum cavity methods. Using these techniques we find that the quantum adiabatic algorithm fails to solve either of these problems efficiently, although for different reasons.
Cite
@article{arxiv.1208.3757,
title = {The performance of the quantum adiabatic algorithm on random instances of two optimization problems on regular hypergraphs},
author = {Edward Farhi and David Gosset and Itay Hen and A. W. Sandvik and Peter Shor and A. P. Young and Francesco Zamponi},
journal= {arXiv preprint arXiv:1208.3757},
year = {2012}
}
Comments
20 pages, 15 figures