Quantum Computing Genome Sequence Prediction

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum Computing Genome Sequence Prediction investigates the potential of quantum computing to revolutionize gene sequencing analysis. Traditional methods face computational bottlenecks, hindering the accurate prediction of genetic sequences. This research explores the application of quantum algorithms to accelerate the prediction process, ultimately aiming to improve the accuracy and efficiency of gene sequence analysis. The core claim centers on leveraging quantum computation's unique properties to overcome limitations in classical algorithms and achieve superior prediction results. The investigation will detail a novel quantum approach to sequence prediction, focusing on reducing computational complexity and enhancing prediction fidelity. This paper will present a comprehensive overview of the proposed methodology, including mathematical formulations, key algorithmic steps, and potential performance benchmarks. The study will also address challenges related to quantum hardware limitations and the integration of existing bioinformatics tools.

DOI: 10.5281/zenodo.22248143

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