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We prove the first genuine QBF proof size lower bounds for the proof system Merge Resolution (MRes [Olaf Beyersdorff et al., 2020]), a refutational proof system for prenex quantified Boolean formulas (QBF) with a CNF matrix. Unlike most QBF…

Computational Complexity · Computer Science 2024-09-13 Olaf Beyersdorff , Joshua Blinkhorn , Meena Mahajan , Tomáš Peitl , Gaurav Sood

Over the last few years, much progress has been made in the theory and practice of solving quantified Boolean formulas (QBF). Novel solvers have been presented that either successfully enhance established techniques or implement novel…

Logic in Computer Science · Computer Science 2016-04-21 Florian Lonsing , Martina Seidl , Allen Van Gelder

Symmetries have been exploited successfully within the realms of SAT and QBF to improve solver performance in practical applications and to devise more powerful proof systems. As a first step towards extending these advancements to the…

Logic in Computer Science · Computer Science 2025-08-28 Clemens Hofstadler , Manuel Kauers , Martina Seidl

Many verification and synthesis approaches rely on solving techniques for quantified Boolean formulas (QBF). Consequently, solution witnesses, in the form of Boolean functions, become more and more important as they represent…

Logic in Computer Science · Computer Science 2018-09-11 Jesko Hecking-Harbusch , Leander Tentrup

Merge Resolution (MRes [Beyersdorff et al. J. Autom. Reason.'2021] ) is a refutational proof system for quantified Boolean formulas (QBF). Each line of MRes consists of clauses with only existential literals, together with information of…

Computational Complexity · Computer Science 2021-07-27 Sravanthi Chede , Anil Shukla

The QBF Gallery 2023, the last QBF evaluation event, continues the tradition to survey and document the state of the art in solving quantified Boolean formulas (QBFs). It provides a detailed overview by collecting newly developed solvers…

Logic in Computer Science · Computer Science 2026-04-20 Simone Heisinger , Luca Pulina , Martina Seidl

We pioneer a new technique that allows us to prove a multitude of previously open simulations in QBF proof complexity. In particular, we show that extended QBF Frege p-simulates clausal proof systems such as IR-Calculus, IRM-Calculus,…

Logic in Computer Science · Computer Science 2024-08-07 Leroy Chew , Friedrich Slivovsky

Certification for Quantified Boolean Formulas (QBF) and Dependency Quantified Boolean Formulas (DQBF) is an ongoing challenge. Recent proof complexity work has shown that the majority of QBF and DQBF techniques can be p-simulated by using…

Logic in Computer Science · Computer Science 2026-05-29 Leroy Chew , Tomáš Peitl

QBFs (quantified boolean formulas), which are a superset of propositional formulas, provide a canonical representation for PSPACE problems. To overcome the inherent complexity of QBF, significant effort has been invested in developing QBF…

Logic in Computer Science · Computer Science 2013-10-10 Mikolas Janota , Radu Grigore , Joao Marques-Silva

We introduce and investigate symbolic proof systems for Quantified Boolean Formulas (QBF) operating on Ordered Binary Decision Diagrams (OBDDs). These systems capture QBF solvers that perform symbolic quantifier elimination, and as such…

Computational Complexity · Computer Science 2021-04-07 Stefan Mengel , Friedrich Slivovsky

We exploit symmetries to give short proofs for two prominent formula families of QBF proof complexity. On the one hand, we employ symmetry breakers. On the other hand, we enrich the (relatively weak) QBF resolution calculus Q-Res with the…

Logic in Computer Science · Computer Science 2018-04-05 Manuel Kauers , Martina Seidl

Modern conflict-driven clause learning (CDCL) SAT solvers are very good in solving conjunctive normal form (CNF) formulas. However, some application problems involve lots of parity (xor) constraints which are not necessarily efficiently…

Logic in Computer Science · Computer Science 2014-07-25 Tero Laitinen , Tommi Junttila , Ilkka Niemelä

Because CDCL produces proofs in the Resolution proof system, problems provably hard for Resolution are also provably hard for CDCL. Exponentially shorter proofs can sometimes be found using stronger proof systems such as…

Logic in Computer Science · Computer Science 2026-05-15 Paul Beame , Glenn Sun

Case-Based Reasoning (CBR) is an artificial intelligence approach to problem-solving with a good record of success. This article proposes using Quantum Computing to improve some of the key processes of CBR, such that a Quantum Case-Based…

Artificial Intelligence · Computer Science 2022-01-12 Parfait Atchade-Adelomou , Daniel Casado-Fauli , Elisabet Golobardes-Ribe , Xavier Vilasis-Cardona

In sharp contrast to classical proof complexity we are currently short of lower bound techniques for QBF proof systems. In this paper we establish the feasible interpolation technique for all resolution-based QBF systems, whether modelling…

Computational Complexity · Computer Science 2023-06-22 Olaf Beyersdorff , Leroy Chew , Meena Mahajan , Anil Shukla

Efficient implementations of DPLL with the addition of clause learning are the fastest complete Boolean satisfiability solvers and can handle many significant real-world problems, such as verification, planning and design. Despite its…

Artificial Intelligence · Computer Science 2011-07-04 P. Beame , H. Kautz , A. Sabharwal

Power side-channel attacks on AES exploit data-dependent physical leakage to recover secret keys, but turning noisy leakage observations into a verified AES-128 key remains a hard combinational search problem. SAT-assisted power…

Quantum Physics · Physics 2026-05-26 Walid El Maouaki , Alberto Marchisio , Muhammad Shafique

This paper reports on the QBF solver QFUN that has won the non-CNF track in the recent QBF evaluation. The solver is motivated by the fact that it is easy to construct Quantified Boolean Formulas (QBFs) with short winning strategies…

Logic in Computer Science · Computer Science 2017-10-09 Mikoláš Janota

This paper defines the (first-order) conflict resolution calculus: an extension of the resolution calculus inspired by techniques used in modern SAT-solvers. The resolution inference is restricted to (first-order) unit-propagation and the…

Logic in Computer Science · Computer Science 2016-02-16 John Slaney , Bruno Woltzenlogel Paleo

We propose reductions to quantified Boolean formulas (QBF) as a new approach to showing fixed-parameter linear algorithms for problems parameterized by treewidth. We demonstrate the feasibility of this approach by giving new algorithms for…

Artificial Intelligence · Computer Science 2018-05-23 Michael Lampis , Stefan Mengel , Valia Mitsou