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Journal of Quantum Information Science

Bio-Quantum Evolution of the Human Brain

Jianzhong Zhao

Published Jan 1, 2026• 0 citations
Publisher

Abstract

The human brain evolves generation by generation. In the present paper I discover, by means of theoretical research into the process of gene transmitting and inheriting of a typical family (a family without loss of its any genes), that the bio-quantum computational speed (the Grover Iterations per second) of mankind increases in the human hereditary process. That means that the ability of the human brain (the central processing unit of biological information and controller of biological process of humans) to control bio-quantum computation strengthens or develops in the human hereditary process. This is the bio-quantum evolution of the human brain. Thus, this work explores the bio-quantum mechanical nature of human brain evolution.

DOI
10.4236/jqis.2026.163013

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The human brain evolves generation by generation. In the present paper I discover, by means of theoretical research into the process of gene transmitting and inheriting of a typical family (a family without loss of its any genes), that the bio-quantum computational speed (the Grover Iterations per second) of mankind increases in the human hereditary process. That means that the ability of the human brain (the central processing unit of biological information and controller of biological process of humans) to control bio-quantum computation strengthens or develops in the human hereditary process. This is the bio-quantum evolution of the human brain. Thus, this work explores the bio-quantum mechanical nature of human brain evolution.
The physical mechanism of heredity or inheritance of genes is a quantum mechanical and/or quantum computational process. A theory of bio-quantum genetics is established in this paper. Principle of Bio-quantum Genetics is suggested. I propose and define the soft-genes of genetics controlling the processes of heredity or inheritance of genes. This research deals with the quantum mechanisms of Mendel plant heredity and family inheritance as examples of bio-quantum genetics, deepening our understanding of heredity or inheritance. I believe that more contributions will be made to promote researches of bio-quantum genetics or quantum biology at large.
Quantum information has emerged as a transformative concept across diverse fields, including information theory, quantum computing, and materials science. Its potential to surpass classical information processing capabilities has sparked significant research interest. This paper investigates the role of quantum information in biological systems, specifically exploring its potential as a fundamental driver of evolution. We propose a novel theoretical framework, termed the "Quantum Gene" mechanism, which posits that quantum information, through entanglement and quantum computation, can significantly influence biological processes and drive evolutionary trajectories. This work offers a new perspective on evolution by highlighting the potential of quantum mechanics to underpin fundamental biological mechanisms.
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This paper proposes that human brain function is mediated by quantum biological mechanisms operating at the 12Hz alpha brainwave frequency. Four quantum principles govern human brain function: quantum tunneling, quantum entanglement, quantum superposition, and the quantum observer effect. In contrast, the 14Hz beta brainwave state activates the subcortical primitive brain regions driven by classical biology. This paper presents a unified theoretical framework connecting quantum processes to human brain function.
The emergence of quantum-enhanced synthetic and engineered biological intelligence (QEBI) represents one of the most transformative frontiers in 21st-century science. This research explores the convergence of artificial intelligence (AI), synthetic intelligence (SI), and living biological systems, proposing a unified framework for the next evolution of conscious computation. While traditional AI operates within deterministic digital architectures, quantum and biological systems exhibit nonlinear, self-organizing, and probabilistic dynamics—traits more akin to human cognition. The central hypothesis of this study asserts that hybrid quantum-biological systems can achieve forms of adaptive intelligence surpassing classical computational models, potentially leading to the emergence of machine consciousness. Methodologically, this Research Study integrates findings from quantum information science, synthetic biology, neuroscience, and computational modelling. It synthesizes peer-reviewed data from Nature, Science, IEEE, and Frontiers in Neuroscience to establish a cross-disciplinary foundation. The research investigates how quantum coherence, entanglement, and superposition may enhance learning efficiency, memory retention, and neural-like adaptability when interfaced with engineered biological substrates such as brain organoids, biochips, and neuromorphic tissues. Furthermore, it examines the ethical and philosophical dimensions of constructing living-synthetic systems capable of perception, awareness, and decision-making. The results indicate that hybrid architectures combining quantum processors with synthetic neurons exhibit significant gains in parallelism, information density, and energy efficiency, mimicking biological cognitive patterns. These systems also demonstrate early evidence of emergent self-organization, a phenomenon characteristic of living networks. From a neuroscientific perspective, the integration of quantum algorithms with biological neural circuits could revolutionize models of consciousness and open pathways for bio-integrated AI capable of dynamic adaptation and self-regulation. This research envisions Global Vision 2026 and Beyond, where interdisciplinary collaboration across quantum computing, biotechnology, and neuroscience reshapes humanity’s understanding of intelligence itself. Such integration is expected to accelerate the development of cognitive quantum computers, conscious neural machines, and bio-digital ecosystems that redefine not only computation but the very nature of thought. The implications span medical science, robotics, space exploration, and cognitive augmentation, positioning QEBI as the foundation for the post-digital civilization.