Quantum Entanglement for Gene Sequence Prediction
Jincheng Zhang
Abstract
Quantum entanglement, a peculiar phenomenon in quantum mechanics, offers a potentially revolutionary approach to gene sequence prediction. This research investigates the utilization of entanglement to enhance the accuracy of genetic sequence prediction, specifically addressing the limitations of traditional computational methods. We propose a novel method that leverages the unique properties of entangled quantum states to minimize error during the probability calculation of gene sequences. This paper explores the potential of this approach, emphasizing its advantages in handling large datasets and significantly improving prediction accuracy. The core mechanism centers around introducing entanglement to mitigate the inherent computational challenges of genetic sequence analysis.