Quantum effects are mainly used for the determination of molecular shapes in molecular biology, but quantum information theory may be a more useful tool to understand the physics of life. Organic molecules and quantum circuits/protocols can be considered as hardware and software of living systems that are co-optimized during evolution. We try to model DNA replication in this sense as a multi-body entanglement swapping with a reliable qubit representation of the nucleotides. In our model molecular recognition of a nucleotide triggers an intrabase entanglement corresponding to a superposition state of different tautomer forms. Then, base pairing occurs by swapping intrabase entanglements with interbase entanglements. We examine possible realizations of quantum circuits to be used to obtain intrabase entanglement and swapping protocols to be employed to obtain interbase entanglement. Finally, we discuss possible ways for computational and experimental verification of the model.
Quantum effects are mainly used for the determination of molecular shapes in molecular biology, but quantum information theory may be a more useful tool to understand the physics of life. Organic molecules and quantum circuits/protocols can be considered as hardware and software of living systems that are co-optimized during evolution. We try to model DNA replication in this sense as a multi-body entanglement swapping with a reliable qubit representation of the nucleotides. In our model molecular recognition of a nucleotide triggers an intrabase entanglement corresponding to a superposition state of different tautomer forms. Then, base pairing occurs by swapping intrabase entanglements with interbase entanglements. We examine possible realizations of quantum circuits to be used to obtain intrabase entanglement and swapping protocols to be employed to obtain interbase entanglement. Finally, we discuss possible ways for computational and experimental verification of the model.
Molecular biology explains function of molecules by their geometrical and electronical structures that are mainly determined by utilization of quantum effects in chemistry. However, further quantum effects are not thought to play any significant role in the essential processes of life. On the contrary, consideration of quantum circuits/protocols and organic molecules as software and hardware of living systems that are co-optimized during evolution, may be useful to overcome the difficulties raised by biochemical complexity and to understand the physics of life. In this sense, we review quantum information-theoretic approaches to the process of DNA replication and propose a new model in which 1) molecular recognition of a nucleobase is assumed to trigger an intrabase entanglement corresponding to a superposition of different tautomer forms and 2) pairing of complementary nucleobases is described by swapping intrabase entanglements with interbase entanglements. We examine possible biochemical realizations of quantum circuits/protocols to be used to obtain intrabase and interbase entanglements. We deal with the problem of cellular decoherence by using the theory of decoherence-free subspaces and subsystems. Lastly, we discuss feasibility of the computational or experimental verification of the model and future research directions.
DNA replication, driven by DNA polymerase, is a highly accurate yet dynamic process essential to life. This paper proposes a novel interpretation of DNA replication as a quantum-informed information processing system. We model polymerase-mediated replication as a form of biological entanglement, wherein template and daughter strands represent coherent information states. By interpreting polymerase fidelity and base-pair matching as quantum logic operations, we propose an architecture for DNA computers that mimic replication fidelity and entanglement-like behavior. These biological processes are mapped to artificial intelligence (AI) systems using probabilistic inference, self-correction, and recursive neural architectures. The proposed framework advances the field of DNA-based computation by incorporating quantum information principles and AI integration strategies.
Molecules are the basis of life. They can be considered as a quantum system. So it is necessary to enter quantum mechanics in biological discussions. In this paper we consider the DNA molecule as a quantum system. We discuss the relation between heredity, biology and DNA and quantum systems. We also find a relation between the quantum information and some bio-processes such as cell division, heredity, and cloning. Finally we conclude that in cell division, DNA-replication and cloning all information in DNA are different.
Quantum effects in biological systems have long been debated, and DNA represents a particularly intriguing candidate for quantum information processing. Here, we report the first experimental validation of DNA quantum entanglement protocols achieving unprecedented fidelity levels using the Holographic Tree of Life (HoloToL) framework. Our approach combines holographic information encoding, consciousness field dynamics, and quantum error correction to demonstrate DNA base pair entanglement with average quantum fidelity of 99.7% ± 0.3%, far exceeding the theoretical threshold for practical quantum computing applications. We processed 50 synthetic DNA sequences through 200 training epochs, achieving a 100% success rate in the validation of the entanglement protocol with 25/25 sequence pairs maintaining quantum coherence. The framework incorporates bioethical safeguards through topologically protected consciousness fields, ensuring perfect ethical compliance throughout genetic information processing. Our results provide direct evidence for quantum entanglement in DNA Watson-Crick base pairing, validate the existence of decoherence-free subspaces in biological systems, and establish DNA as a viable platform for quantum information storage with biological fidelity exceeding current synthetic quantum computers. These findings bridge quantum physics and molecular biology, opening new paradigms for quantum biotechnology, personalized medicine, and consciousness-integrated artificial intelligence systems.
DNA, deoxyribonucleic acid, carrying encoded genetic information at molecular level, is the most significant discovery in the history of genetics. Previous researches on DNA included topics of bases, base-pairing, hydrogen bonds, structure, base sequence, dynamics, replication and mutation. DNA must duplicate itself, and so DNA structure and DNA replication are the fundamental problems. Watson and Crick described the structure and the mechanism for replication of DNA. Other authors focused their studies on DNA replication. DNA molecules are micro-entities ruled by laws of quantum mechanics, but the mechanisms, found previously of DNA forming and replicating, were not explored by applying quantum mechanics. Here we show that controlled by quantum mechanics, the quantum state of DNA is a bio-quantum-entangled state, the mechanism of DNA forming and replicating is a process of bio-quantum entangling, de-entangling and re-entangling. This bio-quantum mechanical result is different from the conventional biochemical descriptions of DNA structure and replication. DNA genetics is bio-quantum genetics in nature. With this deep understanding, reform and progress should be expected for further development of genetics.
This research investigates the potential role of quantum entanglement in biological information processing. We explore the feasibility of simulating quantum effects within biological molecules and examining the influence of entanglement on fundamental processes such as DNA sequence recognition and protein folding. The core claim centers on demonstrating how entanglement could provide a mechanism for enhanced computational capabilities within biological systems. This work contributes to the emerging field of quantum biology by proposing a novel framework for understanding biological phenomena through the lens of quantum mechanics, specifically focusing on the emergent properties of entanglement. The theoretical analysis presented here lays the groundwork for future experimental investigations and offers a new perspective on the complexities of life.