论文标题

RNA-2QCFA:具有RNA二级结构的经典状态的双向量子有限自动机的发展

RNA-2QCFA: Evolving Two-way Quantum Finite Automata with Classical States for RNA Secondary Structures

论文作者

Bhatia, Amandeep Singh, Zheng, Shenggen

论文摘要

最近,数学方法和计算机科学应用的使用在生物化学家和生物学家中对生物系统建模产生了重大反应。计算和数学方法具有建模脱氧核糖核酸(DNA)和核糖核酸(RNA)结构的巨大潜力。使用自动机理论对DNA和RNA二级结构的建模对计算机科学领域产生了重大影响。使用量子计算模型对RNA二级生物分子结构进行建模是一个自然目标。具有经典状态的双向量子有限自动机比语言识别中的双向概率有限自动机更为主导。本文的主要目的是使用经典状态使用双向量子有限自动机来模拟,建模和分析核糖核酸(RNA)序列。

Recently, the use of mathematical methods and computer science applications have got significant response among biochemists and biologists to modeling the biological systems. The computational and mathematical methods have enormous potential for modeling the deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) structures. The modeling of DNA and RNA secondary structures using automata theory had a significant impact in the fields of computer science. It is a natural goal to model the RNA secondary biomolecular structures using quantum computational models. Two-way quantum finite automata with classical states are more dominant than two-way probabilistic finite automata in language recognition. The main objective of this paper is on using two-way quantum finite automata with classical states to simulate, model and analyze the ribonucleic acid (RNA) sequences.

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