In this paper, we study the problem of minimizing a polynomial function with literals over all binary points, often referred to as pseudo-Boolean optimization. We investigate the fundamental limits of computation for this problem by providing new necessary conditions and sufficient conditions for tractability. On one hand, we obtain the first intractability results for pseudo-Boolean optimization problems on signed hypergraphs with bounded rank, in terms of the treewidth of the intersection graph. On the other hand, we introduce the nest-set gap, a new hypergraph-theoretic notion that enables us to move beyond hypergraph acyclicity, and obtain a polynomial-size extended formulation for the pseudo-Boolean polytope of a class of signed hypergraphs whose underlying hypergraphs contain beta-cycles.
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