Quantum Mechanics predicts evolutionary biology

Duru Çakır

The exponential growth of genomic data has transformed evolutionary biology, enabling large-scale analysis of genetic variation, phylogenetic relationships, and adaptive mechanisms across species. However, classical computational approaches increasingly struggle with the combinatorial complexity, high dimensionality, and nonlinear interactions inherent in genomic datasets. This study explores how quantum-enhanced data analysis can augment evolutionary biology by enabling more efficient modeling of genomic variation and species adaptation. By leveraging quantum computing principles such as superposition, entanglement, and quantum parallelism, quantum algorithms offer the potential to accelerate sequence alignment, genotype–phenotype mapping, evolutionary optimization, and adaptive landscape exploration. Through qualitative synthesis of research in quantum computing, computational genomics, and evolutionary theory, this paper examines how quantum-enhanced frameworks can improve the detection of adaptive patterns, epistatic interactions, and evolutionary constraints. The analysis highlights potential applications in phylogenomic reconstruction, population genetics, and predictive modeling of species responses to environmental pressures. While acknowledging current technological limitations, the study argues that quantum-enhanced genomic analysis represents a promising pathway toward more scalable, precise, and predictive evolutionary models. Ultimately, this work positions quantum computing as a transformative tool for advancing our understanding of biological evolution and species resilience in rapidly changing ecosystems.

John Steven Torday

Diederik Aerts, Massimiliano Sassoli de Bianchi

Dhia Bouktila

The classical deterministic worldview that dominated science from the seventeenth to the nineteenth century has been profoundly challenged by developments in modern physics and biology. Quantum mechanics has revealed that indeterminacy and probability are not merely epistemic limitations, but intrinsic features of physical reality. At the same time, evolutionary biology has shown that random genetic variation, filtered by natural selection, is the fundamental driver of biological diversity and adaptation. This article explores the conceptual parallel between quantum indeterminacy and evolutionary randomness, not as a reduction of biology to physics, but as an epistemological reflection on how stability and order emerge from probabilistic processes across different levels of organization. By examining emergence, contingency, historical irreversibility, and the limits of prediction, the paper argues that determinism is best understood as a scale-dependent approximation rather than a foundational ontological principle. The absence of finality in nature does not imply chaos or nihilism, but invites a renewed philosophical understanding of explanation, responsibility, and scientific humility in a probabilistic universe.

Hugh Christopher Longuet-Higgins

Esteban Guevara Hidalgo

The relationships between game theory and quantum mechanics let us propose certain quantization relationships through which we could describe and understand not only quantum but also classical, evolutionary and the biological systems that were described before through the replicator dynamics. Quantum mechanics could be used to explain more correctly biological and economical processes and even it could encloses theories like games and evolutionary dynamics. This could make quantum mechanics a more general theory that we had thought. Although both systems analyzed are described through two apparently different theories (quantum mechanics and game theory) it is shown that both systems are analogous and thus exactly equivalents. So, we can take some concepts and definitions from quantum mechanics and physics for the best understanding of the behavior of economics and biology. Also, we could maybe understand nature like a game in where its players compete for a common welfare and the equilibrium of the system that they are members.