Large Language Model-guided Quantum MaxSAT Algorithm Design

In this paper, we use a computer-inspired design process to develop a new random walk based quantum algorithm for the satisfiability problem MaxSAT. We perform a quantum analysis and compute the measurement probability of the various outcomes of the algorithm. Finally, we run MATLAB simulations to gauge the performance and find that the algorithm performs substantially better than pure guessing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-15
DOI
https://doi.org/10.5281/zenodo.14876383
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Large Language Model-guided Quantum MaxSAT Algorithm Design

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Large Language Model-guided Quantum MaxSAT Algorithm Design

article en

Abstract

In this paper, we use a computer-inspired design process to develop a new random walk based quantum algorithm for the satisfiability problem MaxSAT. We perform a quantum analysis and compute the measurement probability of the various outcomes of the algorithm. Finally, we run MATLAB simulations to gauge the performance and find that the algorithm performs substantially better than pure guessing.

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 77%
Quantum Computing Algorithms and Architecture
DOIOpen Access PDFOpenAlex
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Large Language Model-guided Quantum MaxSAT Algorithm Design · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS