English

On efficiently solvable cases of Quantum k-SAT

Quantum Physics 2021-04-01 v3 Computational Complexity Algebraic Geometry Combinatorics

Abstract

The constraint satisfaction problems k-SAT and Quantum k-SAT (k-QSAT) are canonical NP-complete and QMA_1-complete problems (for k>=3), respectively, where QMA_1 is a quantum generalization of NP with one-sided error. Whereas k-SAT has been well-studied for special tractable cases, as well as from a parameterized complexity perspective, much less is known in similar settings for k-QSAT. Here, we study the open problem of computing satisfying assignments to k-QSAT instances which have a "matching" or "dimer covering"; this is an NP problem whose decision variant is trivial, but whose search complexity remains open. Our results fall into three directions, all of which relate to the "matching" setting: (1) We give a polynomial-time classical algorithm for k-QSAT when all qubits occur in at most two clauses. (2) We give a parameterized algorithm for k-QSAT instances from a certain non-trivial class, which allows us to obtain exponential speedups over brute force methods in some cases. This is achieved by reducing the problem to solving for a single root of a single univariate polynomial. (3) We conduct a structural graph theoretic study of 3-QSAT interaction graphs which have a "matching". We remark that the results of (2), in particular, introduce a number of new tools to the study of Quantum SAT, including graph theoretic concepts such as transfer filtrations and blow-ups from algebraic geometry.

Keywords

Cite

@article{arxiv.1712.09617,
  title  = {On efficiently solvable cases of Quantum k-SAT},
  author = {Marco Aldi and Niel de Beaudrap and Sevag Gharibian and Seyran Saeedi},
  journal= {arXiv preprint arXiv:1712.09617},
  year   = {2021}
}

Comments

50 pages, 19 figures, comments welcome. v2: added explicit runtime analysis for parameterized algorithm, and a family of hypergraphs on which the algorithm achieves an exponential speedup over brute force diagonalization. v3: Long published journal version (CMP 2021, open access)

R2 v1 2026-06-22T23:30:16.611Z