We construct a descriptive toy model that considers quantum effects on biological evolution starting from Chaitin's classical framework. There are smart evolution scenarios in which a quantum world is as favorable as classical worlds for evolution to take place. However, in more natural scenarios, the rate of evolution depends on the degree of entanglement present in quantum organisms with respect to classical organisms. If the entanglement is maximal, classical evolution turns out to be more favorable.
We construct a descriptive toy model that considers quantum effects on biological evolution starting from Chaitin's classical framework. There are smart evolution scenarios in which a quantum world is as favorable as classical worlds for evolution to take place. However, in more natural scenarios, the rate of evolution depends on the degree of entanglement present in quantum organisms with respect to classical organisms. If the entanglement is maximal, classical evolution turns out to be more favorable.
This research investigates the potential of utilizing bio-information as a foundational element to construct a novel quantum entanglement model. Traditional quantum entanglement models often rely on complex mathematical frameworks, limiting their applicability to specific scenarios. This work proposes a paradigm shift by explicitly incorporating biological information – specifically, the structure of biochemical reactions and the inherent information encoded within biological data – into the model's core. We aim to simulate quantum entanglement's physical properties and evolution by dynamically modeling these biological elements. This integrated approach promises to offer a more intuitive and potentially more robust framework for understanding and potentially manipulating quantum phenomena. The core mechanism centers around creating a computational model that mirrors the intricate interplay of biological systems and quantum mechanics. The research explores the implications of such a model for various quantum computing applications and the potential for novel insights into the fundamental nature of entanglement.
This research investigates the potential role of quantum phenomena, specifically quantum entanglement and quantum superposition, in biological information transmission. Traditional biological models often rely on classical explanations for processes such as phototransduction and neuronal communication. This work proposes a framework for developing quantum biological models to explore whether quantum effects contribute to these phenomena. The core claim is that quantum entanglement or superposition could be involved in facilitating information transfer within biological systems. The research will focus on establishing models and investigating the mechanisms by which these quantum effects might influence biological processes, ultimately challenging existing assumptions about information transfer in living organisms. Mathematical formalism is presented to illustrate key concepts and proposed models.
It is argued that the principles of classical physics are inimical to the development of a satisfactory science of consciousness. The problem is that insofar as the classical principles are valid consciousness can have no effect on the behavior, and hence on the survival prospects, of the organisms in which it inheres. Thus within the classical framework it is not possible to explain in natural terms the development of consciousness to the high-level form found in human beings. In quantum theory, on the other hand, consciousness can be dynamically efficacious: quantum theory does allows consciousness to influence behavior, and thence to evolve in accordance with the principles of natural selection. However, this evolutionary requirement places important constraints upon the details of the formulation of the quantum dynamical principles. To appear in the proceedings of the conference Toward a Science Of Consciousness: University of Arizona, Tucson, April 8-13. 1996. 1. The Inadequacy ...
The penetration of quantum concepts into biological science, which began shortly after the creation of quantum mechanics, over the past two decades has taken shape in a new interdisciplinary scientific discipline quantum biology. One of the key questions of quantum biology has been formulated as follows: are there biological systems that use quantum effects to perform a task that cannot be done classically? More broadly, do some kinds of organisms adapt efficient quantum mechanisms in the process of their evolutionary development in order to gain an advantage over their competitors? The range of topical problems of the new discipline discussed in this brief review includes questions of a general, historical and methodological character, and generalizes some theoretical models aimed at describing quantum processes, including bacterialphotosynthesis, bird magnetoreception, and the mechanism of olfactory sense in living organisms.
Abstract Adaptive mutation, the phenomenon where organisms appear to increase beneficial mutation rates in response to environmental stress, has challenged the traditional understanding of random mutations in evolutionary biology. Here, we present a novel computational model, the Entangled Evolution Model, which integrates quantum game theory and quantum walks to provide a new approach to understanding mutation dynamics. By applying the Clauser-Horne-Shimony-Holt (CHSH) quantum game within a modified Lotka-Volterra framework, we simulate how quantum entanglement can accelerate the rate of adaptive mutations in Escherichia coli populations. Our simulations reveal that entangled bacterial populations achieve successful adaptive mutations with an 85% probability, significantly surpassing the classical theoretical maximum. These results introduce a new perspective on computational approaches to evolutionary adaptation, offering an efficient algorithmic framework to explore the role of quantum effects in biological systems.
Zurek’s “quantum Darwinism” and its translation into the evolution of adaptive systems In this work I justify a scheme that favors a non-reductive integration between physical and biological approaches based on the notion of information as interpretation. I start with a discussion on the cross fertilization and feedbacks between physics and biology for it helps to explain Maxwells demon metaphor as a forerunner of a notion of information applicable to the problem of biological adaptation that is best conceived today as information gathering and using systems (IGUS) in the sense of Zurek. It is shown how IGUS by means of measurements generate informative correlations between micro-states (genotype) and macro-states (phenotype), and between macro-states (phenotype) and environment. I further examine Zureks decoherence theory dubbed “quantum Darwinism” according to which the environment eliminates most of the superpositions of quantum systems leaving only a set of preferred states, among which are chosen those that are in fact realized in the classical world. In this view IGUS are equated to non-conscious agents of quantum measurement, a posture that modifies Copenhagen interpretation without falling into the difficulties of the “many worlds” interpretation. I, thus, propose that in order to tackle the problem of biological adaptation, it would be important to understand information as IGUS’ interpretative activity thought as physical and/or biological systems that actualize an organizing potential in accordance to an “internal model” of systems environment interactions, so that they interpret physical perturbations as informative signals that orient structural adjustments to be adopted and the actions that are projected to the external milieu. To end up I show how this model may serve to account for the origin of adaptive mutations in bacteria and to formally describe developing epigenetic systems. In this way the classical debate between Lamarckian and Darwinian schools must be reframed and perhaps superseded as the new scheme of interpretation is validated with more experimental evidence. To conclude I argue that semiosis is the clue to justify the deep analogy that allows to establishing bidirectional bridges between physical and biological models of adaptive evolution. key words. Quantum Darwinism, Neo-Lamarckism, natural selection, information, IGUS, adaptation, coherence, superposition, entanglement, sign, observer, measurement, ci Copenhagen interpretation, many worlds interpretation, epigenetics.