English

Solving QSAT in sublinear depth

Computational Complexity 2019-02-13 v2

Abstract

Among PSPACE\mathbf{PSPACE}-complete problems, QSAT, or quantified SAT, is one of the most used to show that the class of problems solvable in polynomial time by families of a given variant of P systems includes the whole PSPACE\mathbf{PSPACE}. However, most solutions require a membrane nesting depth that is linear with respect to the number of variables of the QSAT instance under consideration. While a system of a certain depth is needed, since depth 1 systems only allows to solve problems in P#P\mathbf{P^{\#P}}, it was until now unclear if a linear depth was, in fact, necessary. Here we use P systems with active membranes with charges, and we provide a construction that proves that QSAT can be solved with a sublinear nesting depth of order nlogn\frac{n}{\log n}, where nn is the number of variables in the quantified formula given as input.

Keywords

Cite

@article{arxiv.1902.03879,
  title  = {Solving QSAT in sublinear depth},
  author = {Alberto Leporati and Luca Manzoni and Giancarlo Mauri and Antonio E. Porreca and Claudio Zandron},
  journal= {arXiv preprint arXiv:1902.03879},
  year   = {2019}
}

Comments

19th International Conference on Membrane Computing (CMC19)

R2 v1 2026-06-23T07:37:35.714Z