A parallel and distributed fixed-point quantum search algorithm for solving SAT problems
arXiv QuantumArchived Apr 14, 2026✓ Full text saved
arXiv:2604.09980v1 Announce Type: new Abstract: Boolean satisfiability (SAT) problem is of fundamental importance in computer science and many application domains. For Grover's algorithm, solving the SAT problem requires $\mathcal{O}(\sqrt{2^n})$ queries--where n denotes the number of logic variables in the problem. However, Grover's algorithm suffers from the Souffle problem: specifically, when the number of solutions is unknown, terminating the algorithm too early or too late leads to a signif
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Quantum Physics
[Submitted on 11 Apr 2026]
A parallel and distributed fixed-point quantum search algorithm for solving SAT problems
He Wang, Jinyang Yao
Boolean satisfiability (SAT) problem is of fundamental importance in computer science and many application domains. For Grover's algorithm, solving the SAT problem requires \mathcal{O}(\sqrt{2^n}) queries--where n denotes the number of logic variables in the problem. However, Grover's algorithm suffers from the Souffle problem: specifically, when the number of solutions is unknown, terminating the algorithm too early or too late leads to a significant reduction in the probability of obtaining a solution. In this paper, we propose a parallel fixed-point (PFP) search algorithm to solve the SAT problem. By exploiting entanglement, each clause in the conjunctive normal form (CNF) formula can be processed independently, leading to a significant reduction in circuit depth. We also discuss how to perform the algorithm in distributed manner. These make the PFPS algorithm particularly suitable for the noisy intermediate-scale quantum (NISQ) era.
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2604.09980 [quant-ph]
(or arXiv:2604.09980v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.09980
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Submission history
From: He Wang [view email]
[v1] Sat, 11 Apr 2026 01:28:20 UTC (47 KB)
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