Time may be viewed as an emergent consequence of increasing information entropy. I explore a toy quantum‑information model in which DNA is treated as an open quantum system. In this framework, weak, time‑dependent perturbations (potentially arising from thermal fluctuations, ionic microfields, metabolic noise, or electromagnetic signals) bias the micro‑timing of events during replication and repair. These slight timing shifts can influence the fate of transient electronic and protonic configurations (including short‑lived tautomeric states driven by proton‑transfer tunnelling), subtly altering mutation probabilities. To test this idea, I map nucleotides in the Mycobacterium tuberculosis genome to constrained qubit states and quantify informational structure using Shannon and von Neumann entropies and coding to non‑coding correlation metrics. Simulations of Hamiltonian dynamics under physiologically plausible perturbations show that real genomic segments exhibit distinctive dynamical signatures compared with controls. I also examine a variant in which a weak, slowly varying external signal is introduced as a background "beat" against which DNA dynamics can be compared. Because a Doppler shift in electromagnetic waves encodes the flow of time through the relative motion of source and observer, a cosmic microwave background (CMB) with a tiny frequency drift provides a conceptual clock and a source of informational entropy: it feeds a time‑correlated input into the DNA quantum system, allowing the molecule to sample cosmic time and translate it into a biological scale by modulating tunnelling probabilities and thus mutation patterns. This CMB‑inspired drive is simply a convenient illustration; the model does not rely on it, and other sources of weakly structured entropy could be tested. Across simulations, sequence‑dependent responses to both intrinsic and structured perturbations generate testable predictions: changing the structure or timing of these weak perturbations should produce reproducible shifts in mutation spectra. This framework connects cellular ageing and evolution to the flow of cosmic time and suggests experiments to probe DNA's sensitivity to time‑dependent perturbations.
Time may be viewed as an emergent consequence of increasing information entropy. I explore a toy quantum‑information model in which DNA is treated as an open quantum system. In this framework, weak, time‑dependent perturbations (potentially arising from thermal fluctuations, ionic microfields, metabolic noise, or electromagnetic signals) bias the micro‑timing of events during replication and repair. These slight timing shifts can influence the fate of transient electronic and protonic configurations (including short‑lived tautomeric states driven by proton‑transfer tunnelling), subtly altering mutation probabilities. To test this idea, I map nucleotides in the Mycobacterium tuberculosis genome to constrained qubit states and quantify informational structure using Shannon and von Neumann entropies and coding to non‑coding correlation metrics. Simulations of Hamiltonian dynamics under physiologically plausible perturbations show that real genomic segments exhibit distinctive dynamical signatures compared with controls. I also examine a variant in which a weak, slowly varying external signal is introduced as a background "beat" against which DNA dynamics can be compared. Because a Doppler shift in electromagnetic waves encodes the flow of time through the relative motion of source and observer, a cosmic microwave background (CMB) with a tiny frequency drift provides a conceptual clock and a source of informational entropy: it feeds a time‑correlated input into the DNA quantum system, allowing the molecule to sample cosmic time and translate it into a biological scale by modulating tunnelling probabilities and thus mutation patterns. This CMB‑inspired drive is simply a convenient illustration; the model does not rely on it, and other sources of weakly structured entropy could be tested. Across simulations, sequence‑dependent responses to both intrinsic and structured perturbations generate testable predictions: changing the structure or timing of these weak perturbations should produce reproducible shifts in mutation spectra. This framework connects cellular ageing and evolution to the flow of cosmic time and suggests experiments to probe DNA's sensitivity to time‑dependent perturbations.
We explore a quantum mechanical framework for modeling mutation dynamics in viral genomes. Motivated by experimental observations, such as interference-like mutation patterns and an inverse relationship between genome size and per-site mutation rate, we represent the viral genome as a superposition state in a high-dimensional Hilbert space, and model mutations as quantum operators acting on this state. This is not a microscopic theory of replication but an effective, physically inspired model aimed at capturing non-classical features such as interference and entanglement in sequence evolution. We introduce structured mutation operators diagonal, random, and spatially correlated, and study their action on quantum sequence states using numerical simulations. Correlated operators with phase structure produce interference patterns in mutation probabilities, analogous to the electron double-slit experiment. Entangled mutation dynamics, modeled via cluster-state-like correlations, alter the scaling behavior of the per-site mutation rate with genome size. We show that while classical models predict a constant per-site mutation rate for small genomes, entangled models yield size-dependent rates that decrease as L −α , where α > 0 reflects the strength of correlation. This matches trends observed in RNA viruses with genomes below ∼ 30 kb. Finally, we propose two experimental tests: (1) detection of replication-speed-dependent interference fringes using modified viral polymerases, and (2) ensemble-level coherence signatures measurable by nuclear magnetic resonance spectroscopy. Our results offer a testable hypothesis that quantum correlations may influence mutation dynamics in viral genomes below 30 kb in size.
We explore a quantum mechanical framework for modeling mutation dynamics in viral genomes. Motivated by experimental observations, such as interference-like mutation patterns and an inverse relationship between genome size and per-site mutation rate, we represent the viral genome as a superposition state in a high-dimensional Hilbert space, and model mutations as quantum operators acting on this state. This is not a microscopic theory of replication but an effective, physically inspired model aimed at capturing non-classical features such as interference and entanglement in sequence evolution. We introduce structured mutation operators diagonal, random, and spatially correlated, and study their action on quantum sequence states using numerical simulations. Correlated operators with phase structure produce interference patterns in mutation probabilities, analogous to the electron double-slit experiment. Entangled mutation dynamics, modeled via cluster-state-like correlations, alter the scaling behavior of the per-site mutation rate with genome size. We show that while classical models predict a constant per-site mutation rate for small genomes, entangled models yield size-dependent rates that decrease as L−α, where α>0 reflects the strength of correlation. This matches trends observed in RNA viruses with genomes below ∼30 kb. Finally, we propose two experimental tests: (1) detection of replication-speed-dependent interference fringes using modified viral polymerases, and (2) ensemble-level coherence signatures measurable by nuclear magnetic resonance spectroscopy. Our results offer a testable hypothesis that quantum correlations may influence mutation dynamics in viral genomes below 30 kb in size.
• Published in PLOS One, reinterpreting DNA not as classical chemical bonds but as an open quantum system continuously interacting with the external environment. • Presents a theoretical framework where quantum tunneling, wave functions, and macroscopic quantum entanglement regulate the directionality of genetic mutations and increase survival fitness under environmental stress. • An innovative model demonstrating that genetic evolution is not driven by simple random chemical variations, but by a highly synchronized quantum mechanical probability distribution system within the cell. [Quantum Biology Society] Since Charles Darwin, the evolution of living organisms has been explained within the classical biological framework of random mutation and natural selection. However, a groundbreaking study has recently been published that reinterprets the mechanisms of genetic information preservation and evolution beyond the perspective of classical chemical bonds into subatomic quantum physics, delivering a fresh shock to the academic community. A paper titled "DNA as a quantum system in evolution," published in the March 2026 issue of the international journal PLOS One, identified DNA not merely as an information storage medium but as an open quantum system continuously communicating with the environment. Researcher Nahuel Aquiles Garcia, who conducted this single-author study, newly analyzed DNA dynamics through a quantum-informational model, presenting groundbreaking insights into the evolutionary process of living organisms. ■ An Open Quantum System Communicating with the Environment The researcher explained that DNA, the genetic material of living organisms, functions not as an isolated chemical molecule but as an open quantum system constantly interacting with minute energy changes in the external environment. According to this framework, changes in the minute wave function, quantum tunneling, and macroscopic quantum entanglement phenomena occurring within DNA directly affect the genetic behavior of living organisms. ■ Directionality of Mutations Beyond Randomness The most interesting part is the redefinition of how genetic mutations occur under environmental stress. From the existing Darwinian perspective, mutations were considered the result of blind and random chemical errors. However, the new quantum biological model suggests that the complex energy fields within the cell and the highly synchronized quantum mechanical probability distribution system between molecules can specifically regulate the directionality of mutations. In other words, quantum phenomena can microscopically guide evolutionary pressure in a direction that increases the survival fitness of the organism. ■ A New Paradigm in Evolutionary Biology This study is a bold and innovative biophysical achievement demonstrating that genetic evolution might not simply be the product of blind chance, but an elegant process fundamentally driven and orchestrated by the laws of quantum physics. This new paradigm, which integrates classical biology and quantum mechanics in unlocking the secrets of the origin and evolution of life, is expected to open completely new horizons of research across genetics and the life sciences in the future.
Abstract This study introduces a geometric framework to explain how quantum particles, specifically protons, move through energy barriers in biological molecules like DNA. Rather than viewing this tunneling as a purely random event, we propose that it is governed by the structural complexity of the surrounding molecular environment. By treating the energy landscape as a geometric shape, we demonstrate that the environment acts as a regulator that either facilitates or hinders the movement of protons between genetic base pairs. We applied this model to compare the two primary building blocks of the DNA ladder: the Guanine-Cytosine (G-C) and Adenine-Thymine (A-T) pairs. Our findings reveal that the G-C pair possesses a structural configuration that makes proton movement significantly more likely compared to the A-T pair. This difference provides a clear physical explanation for why certain parts of our genetic code are more prone to spontaneous changes, or tautomeric shifts, which can lead to mutations. Furthermore, the research explores how the DNA molecule interacts with its surrounding cellular noise (e.g. water molecules and proteins). We find that the proton behaves in a hybrid manner (at times acting like a coherent wave that exists in multiple places at once), and at other times like a solid particle trapped by its environment. This dual behavior suggests that life operates at a delicate balance between quantum mechanical effects and classical stability.
Understanding whether environmental conditions bias the statistical weight of specific genomic configurations requires a framework connecting molecular interactions, thermal fluctuations, and sequence-level observables. Here, we model DNA as an open quantum system coupled to an environmental thermal bath (represented as an external bosonic field) and parameterize the underlying molecular interaction energies (effective Hamiltonian terms) directly from prescribed nucleotide sequences. To evaluate sequence distributions at thermodynamic equilibrium, we compare two finite-temperature strategies at fixed inverse temperature (β=1): classical Bayesian optimization targeting the exact thermodynamic equilibrium distribution (the Gibbs state), and quantum simulation using a Variational Quantum Thermalizer (VQT) implemented via a nine-layer parameterized quantum circuit. Both methods optimize the same interaction energy model and target-sequence objective across short oligomers (N=2--5 base pairs), using 200 outer evaluations. Benchmarking against a uniform sequence distribution, exact-Gibbs optimization enhances target-sequence probabilities by factors of 9.11, 25.64, 54.51, and 159.87. The VQT approach similarly yields substantial target enrichment across all sequence lengths, achieving enhancement factors between 9.85 and 62.77. By evaluating the VQT-selected Hamiltonians against exact Gibbs calculations, we decouple optimization errors in parameter learning from approximation errors inherent to the variational quantum circuit. While concordance with the exact-Gibbs optimum is high in shorter oligomers, larger systems exhibit heightened sensitivity to variational thermal approximations. These results demonstrate that environment-induced sequence biases can be systematically captured within a variational quantum simulation framework, bridging biophysical models of DNA thermodynamics with quantum algorithms for finite-temperature state preparation. Crucially, the resulting equilibrium probabilities represent intrinsic thermodynamic biases rather than realized evolutionary substitution rates, which remain governed by kinetic activation barriers, replication fidelity, and enzymatic DNA repair.
• Published in Nature's sister journal Communications Physics, proposing an 'open quantum systems approach to proton tunnelling in DNA'. • Analysis of G-C base pairs confirmed that the proton transfer rate by tunnelling is overwhelmingly higher than classical methods even at biological temperatures and in a dissipative environment. • Demonstrated a high tautomeric occupation probability... suggesting that DNA mutation is deeply governed by quantum mechanical processes. [Quantum Biology Society] Research revealing that the fundamental cause of mutations threatening the genetic stability of DNA—the core of life preservation—is based on quantum mechanical phenomena rather than classical biochemical reactions is drawing significant attention from the academic community. A paper published in Communications Physics, a sister journal of Nature, titled "An open quantum systems approach to proton tunnelling in DNA" verified this innovative hypothesis with a sophisticated physical model. A joint research team, including Louie Slocombe and Professor Jim Al-Khalili, thoroughly analyzed the quantum mechanical processes related to proton transfer. ■ Protons Piercing Through Hydrogen Bonds, Inducing 'Point Mutations' If a proton moves out of its orbit within the hydrogen bonds of the Guanine-Cytosine (G-C) base pair connecting the DNA double helix structure, tautomerisation occurs, altering the chemical structure of the base, which can lead to a point mutation, an error in genetic information. However, exactly how this process occurs in a warm and complex biological environment has long been a matter of debate. To solve this challenge, the research team applied an open quantum system that integrated an accurate structural model of the G-C base pair with the quantum dynamics of the hydrogen bond proton and the influence of the decoherent and dissipative cellular environment. ■ Quantum Effects Surviving Even in Biological Environments... "Tens of Thousands of Times Faster Than Over-the-Barrier Hopping" The analysis results completely overturned the conventional wisdom that quantum phenomena are confined only to the microscopic world or cryogenic temperatures. The research team found that, despite biological temperatures and environmental factors, the quantum tunnelling contribution to the proton transfer rate is several orders of magnitude (tens of thousands of times) larger than the classical 'over-the-barrier hopping' method, where particles gain energy to cross the barrier. Due to the strong quantum tunnelling effect, the canonical and tautomeric forms of the G-C base pair inter-convert over timescales far shorter than biological ones and very rapidly reach thermal equilibrium. ■ The Origins of Cancer and Evolution Lie in Quantum Probabilities What is even more surprising is that the tautomeric occupation probability through tunnelling reaches a significant level of 1.73 × 10⁻⁴. This suggests that such proton transfer may well play a far more dominant and important role in DNA mutation than the academic community has hitherto thought. This study, which proves that DNA mutations—the macroscopic consequences driving the onset of genetic diseases or cancer, and further, the evolution of life—are in fact thoroughly governed by microscopic quantum tunnelling phenomena, will serve as a powerful indicator of how Quantum Biology can innovate the paradigms of medicine and genetics in the future.