DNA中产生量子纠缠的过程

IF 1.9 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2025-08-22 DOI:10.1016/j.biosystems.2025.105566

S.E. Shirmovsky , A.V. Chizhov

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引用次数: 0

摘要

研究了DNA中产生量子纠缠的正准粒子的迁移过程。这项研究是在短DNA链上进行的。结果表明，由于隧道效应，缠结沿含氮碱基链迁移。研究了DNA链上的纠缠过程，实验证实了电荷迁移，以及智人脂肪酶A溶酶体酸型基因（LIPA）短序列上的纠缠过程。氮基纠缠度较高，达到80% ~ 90%。研究表明，DNA中的纠缠不仅通过化学键，而且还通过利用纠缠的量子通道为基因中的能量和量子态传递创造了条件。这项工作的结论是，在DNA部分破坏的情况下，量子纠缠可以作为DNA中含氮碱基之间的额外通信通道。

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The processes generating quantum entanglement in DNA

The migration processes of a positive quasi-particle generating quantum entanglement in DNA are investigated. The study was performed on the short DNA strands. It has been shown that the entanglement migrates along the nitrogenous bases chain as a result of the tunnel effect. The entanglement processes have been studied on the DNA chains, for which the charge migration was experimentally confirmed, as well as on the Homo sapiens lipase A, lysosomal acid type gene (LIPA) short sequences. A high degree of nitrogenous bases entanglement was found reaching the values of 80%–90%. It was shown that the entanglement in DNA creates conditions for the energy and quantum states transfer in the genes not only through the chemical bonds, but also through a quantum channel using entanglement as well. The work concludes that the quantum entanglement can act as an additional communication channel between nitrogenous bases in DNA in the case of its partial destruction.

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.