This workconsiders the possibility of an analog transition between the microcosm of quantum mechanics and the macrocosm of biology, where the most important process is the relationship of a biological species (BS) with its ecological niche (EN). In the first workpart the hypothesis is put forward, that the EN acts as an analogue of a potential well in quantum mechanics, which makes it possible to apply the tools of the latter. Then the stable BS state, as a system structure, corresponds to the eigenvalues of some wave function that oscillates in the EN (like an electron in an atom). At the same time, it is possible to distinguish the linear and nonlinear stages of these oscillations. The evolution nonlinear part, when the BS enters a chaotic stage of existence, can be determined by both external changes in the EN and internal causes at the genome level.The first reasons can be called Darwinian, the second — Lamarckian. In general, the BS eigenvalues are determined by boundary conditions (based on the Hutchinson cube): generalized the EN geometry and other environmental factors. It is shown how the basic concepts of quantum mechanics such as superposition, tunneling through a potential barrier, the Pauli principleare manifest themselves in biology. The latter corresponds to Gause's law in biology: only one species with certain ecological needs can live inside one ecological niche. In the second work part possible evolutionary correlation effects are discussed between the potential well, determined by the corresponding EN, and the potential well, which affects the conformational (energy) genome state of the BS. It is assumed that a change in the EN transforms the informational genome status through natural selection. On the other hand, and a change in the genome topology of the individuals can eventually to change the species whole and lead to the transformation of its niche.
This workconsiders the possibility of an analog transition between the microcosm of quantum mechanics and the macrocosm of biology, where the most important process is the relationship of a biological species (BS) with its ecological niche (EN). In the first workpart the hypothesis is put forward, that the EN acts as an analogue of a potential well in quantum mechanics, which makes it possible to apply the tools of the latter. Then the stable BS state, as a system structure, corresponds to the eigenvalues of some wave function that oscillates in the EN (like an electron in an atom). At the same time, it is possible to distinguish the linear and nonlinear stages of these oscillations. The evolution nonlinear part, when the BS enters a chaotic stage of existence, can be determined by both external changes in the EN and internal causes at the genome level.The first reasons can be called Darwinian, the second — Lamarckian. In general, the BS eigenvalues are determined by boundary conditions (based on the Hutchinson cube): generalized the EN geometry and other environmental factors. It is shown how the basic concepts of quantum mechanics such as superposition, tunneling through a potential barrier, the Pauli principleare manifest themselves in biology. The latter corresponds to Gause's law in biology: only one species with certain ecological needs can live inside one ecological niche. In the second work part possible evolutionary correlation effects are discussed between the potential well, determined by the corresponding EN, and the potential well, which affects the conformational (energy) genome state of the BS. It is assumed that a change in the EN transforms the informational genome status through natural selection. On the other hand, and a change in the genome topology of the individuals can eventually to change the species whole and lead to the transformation of its niche.
I propose to treat the biological evolution of genoms by means of quantum mechanical tools. We start with the concept of meta- gene, which specifies the "selfish gene" of R.Dawkins. Meta- gene encodes the abstract living unity, which can live relatively independently of the others, and can contain a few real creatures. Each population of living creatures we treat as the wave function on meta- genes, which module squared is the total number of creatures with the given meta-gene, and the phase is the sum of "aspirations" to change the classical states of meta- genes. Each individual life thus becomes one of possible outcomes of the virtual quantum measurement of this function. The evolution of genomes is described by the unitary operator in the space of psi-functions or by Kossovsky-Lindblad equation in the case of open biosystems. This operator contains all the information about specific conditions under which individuals are, and how "aspirations" of their meta- genes may be implemented at the biochemical level. We show the example of quantum description of the population with two parts of meta-gene: "wolves" and "deer", which can be simultaneously in the same abstract living unity. "Selfish gene" reconciled with the notion of individuality of alive beings that gives possibility to consider evolutionary scenarios and their possible physical causes from the single position.
Founders of quantum mechanics (QM) anticipated that revisions to classical physics due to strange elements of quantum reality, would necessitate similar changes in biology. Complexity theory, systems biology and quantum biology provide possible solutions indicating that subject/object separation is a useful fiction for reductive science. Direct correlates to such QM observational/measurement issues as Complementarity and Uncertainty may justify the introduction of an analog of Heisenberg's uncertainty and the Planck constant for living systems. The phase space of "adjacent possibles" for biological systems from which one "actual" is selected resembles the collapse of the QM wave function. Since biological systems are hierarchical, this occurs across organizational scales resulting in biological coherence. The location of a quantum/classical boundary is unclear due to complexity. Whether biological systems' characteristics arise directly from QM or are of a different origin remains unsettled. To combine non-linear with quantum properties across biological scales we propose the Method of Coherent Structures (MCS), developed for quantum many-body systems. In MCS, a higher-level scale provides a classical envelope for quantum fluctuations at the lower scale. It yields a seamless transition from non-linear classical fields to quantum excitations and accounts for the emergence of complexity by incorporating metabolic energy supply.
The aim of this review is to highlight the possibility of applying the mathematical formalism and methodology of quantum theory to model behavior of complex biosystems, from genomes and proteins to animals, humans, and ecological and social systems. Such models are known as quantum-like, and they should be distinguished from genuine quantum physical modeling of biological phenomena. One of the distinguishing features of quantum-like models is their applicability to macroscopic biosystems or, to be more precise, to information processing in them. Quantum-like modeling has its basis in quantum information theory, and it can be considered one of the fruits of the quantum information revolution. Since any isolated biosystem is dead, modeling of biological as well as mental processes should be based on the theory of open systems in its most general form-the theory of open quantum systems. In this review, we explain its applications to biology and cognition, especially theory of quantum instruments and the quantum master equation. We mention the possible interpretations of the basic entities of quantum-like models with special interest given to QBism, as it may be the most useful interpretation.
In 2021 I noted that in all information-based systems we understand, Cognition creates Code, which controls Chemical reactions. Known agents write software which controls hardware, and not the other way around. I proposed the same is true in all of biology. Though the textbook description of cause and effect in biology proposes the reverse, that Chemical reactions produce Code from which Cognition emerges, there are no examples in the literature demonstrating either step. A mathematical proof for the first step, cognition generating code, is based on Turing's halting problem. The second step, code controlling chemical reactions, is the role of the genetic code. Thus a central question in biology: What is the nature and source of cognition? In this paper I propose a relationship between biology and Quantum Mechanics (QM), hypothesizing that the same principle that enables an observer to collapse a wave function also grants biology its agency: the organism's ability to act on the world instead of merely being a passive recipient. Just as all living cells are cognitive (Shapiro 2021, 2007; McClintock 1984; Lyon 2015; Levin 2019; Pascal and Pross, 2022), I propose humans are quantum observers because we are made of cells and all cells are observers. This supports the century-old view that in QM, the observer does not merely record the event but plays a fundamental role in its outcome.The classical world is driven by laws, which are deductive; the quantum world is driven by choices, which are inductive. When the two are combined, they form the master feedback loop of perception and action for all biology. In this paper I apply basic definitions of induction, deduction and computation to known properties of QM to show that the organism altering itself (and its environment) is a whole shaping its parts. It is not merely parts comprising a whole. I propose that an observer collapsing the wave function is the physical mechanism for producing negentropy. The way forward in solving the information problem in biology is understanding the relationship between cognition and QM.
• 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.
The smallest details of living systems are molecular devices that operate between the classical and quantum levels, i.e. between the potential dimension (microscale) and the actual three-dimensional space (macroscale). They realize non-demolition quantum measurements in which time appears as a mesoscale dimension separating contradictory statements in the course of actualization. These smaller devices form larger devices (macromolecular complexes), up to living body. The quantum device possesses its own potential internal quantum state (IQS), which is maintained for prolonged time via error-correction being a reflection over this state. Decoherence-free IQS can exhibit itself by a creative generation of iteration limits in the real world. To avoid a collapse of the quantum information in the process of correcting errors, it is possible to make a partial measurement that extracts only the error-information and leaves the encoded state untouched. In natural quantum computers, which are living systems, the error-correction is internal. It is a result of reflection, given as a sort of a subjective process allotting optimal limits of iteration. The IQS resembles the properties of a quasi-particle, which interacts with the surround, applying decoherence commands to it. In this framework, enzymes are molecular automata of the extremal quantum computer, the set of which maintains stable highly ordered coherent state, and genome represents a concatenation of error-correcting codes into a single reflective set. Biological systems, being autopoietic in physical space, control quantum measurements in the physical universe. The biological evolution is really a functional evolution of measurement constraints in which limits of iteration are established possessing criteria of perfection and having selective values.