Quantum implementation of multi-pattern string matching for k-mer detection

While implementation challenges such as QRAM overhead remain, this study demonstrates both the promise and current limitations of quantum-enhanced string matching, establishing a foundational step toward quantum readiness in bioinformatics.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-23
DOI
https://doi.org/10.64898/2025.12.21.695808
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum implementation of multi-pattern string matching for k-mer detection

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bioRxiv (Cold Spring Harbor Laboratory)
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Quantum implementation of multi-pattern string matching for k-mer detection

Evangelos Stogiannos, Ilias Georgakopoulos‐Soares, Christos Papalitsas, Grigorios Koulouras, Michail Patsakis, Ioannis Mouratidis
article en

Abstract

While implementation challenges such as QRAM overhead remain, this study demonstrates both the promise and current limitations of quantum-enhanced string matching, establishing a foundational step toward quantum readiness in bioinformatics.

bioRxiv (Cold Spring Harbor Laboratory)
The University of Texas at Austin (US)
National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 18%
Quantum Computing Algorithms and Architecture
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