Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
Abstract
This paper explores the potential of integrating quantum computing with bioinformatics to revolutionize protein structure prediction. Traditional methods face significant computational challenges, particularly with complex proteins. We propose a novel approach leveraging quantum algorithms to accelerate molecular simulations and integrate biological data for enhanced prediction accuracy. The core claim centers on the ability to achieve more precise protein structure determination through this combined methodology. Specifically, we outline a mechanism utilizing quantum algorithms to drastically reduce simulation times and subsequently, incorporate biological information for optimization. This represents a new paradigm in protein structure prediction, offering a pathway to accurately model protein folding and dynamics. The work delves into the theoretical foundations and potential algorithmic implementations, laying the groundwork for future research and development in this exciting field. The focus is on the computational speedup offered by quantum approaches and the strategic integration with existing bioinformatics techniques.
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