A randomized algorithm is proposed that repeatedly intersects the polynomial system with uniformly random affine linear constraints (hyperplane slices) to progressively reduce the effective dimension of the solution space to address the satisfiability problem in the theory of non-linear arithmetic over finite fields.
To solve an overdetermined polynomial system numerically, one first makes it square, usually by replacing the given equations with as many random linear combinations as there are unknowns. This is a provably safe step, but it can substantially enlarge the supports. The alternative is to keep that many of the given equa...
This book explains how algorithms work, for example, by exploiting the structure of the SAT problem with an appropriate logical calculus, like resolution, but also algorithms based on “physical” principles are considered.
This work proves that the barrier to reaching the classical threshold does not arise from a need for entanglement, and separates the effects of relaxation tightness and energy approximation from operational accessibility.
We consider the problem of minimizing a sparse quadratic function over the unit hypercube. In binary quadratic programming, treewidth of the interaction graph is a central parameter for tractability: bounded treewidth yields polynomial-time solvability. Motivated by this fact, we investigate whether treewidth plays a s...
Heavy-Hitter QAOA is introduced, which preserves finite-depth and finite-shot guarantees for Constraint-Enhanced QAOA and preserves these conditional guarantees while reducing the retained candidate set and classical post-processing cost by one power of the problem size.
Chinonso Onah, K. Michielsen· 0 citations
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