Biological and Quantum Computing for Human Vision

Koichiro Matsuno

Dr. Tirath Singh Saini

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.

Shigeki Takeuchi

Gilberto Bastidas *, Daniel Bastidas

Biological processes such as photosynthesis, enzymaticcatalysis, smell, and vision, which cannot be explained by the laws of classical physics, can be addressed by quantum physics, specifically biological physics, and thus be transferred to phenomena described in the health sciences. This will undoubtedly revolutionize the understanding of human life. For example, within the framework of quantum biology, consciousness and the soul are believed to be contained in microtubules, structures within brain cells. The understanding and subsequent prediction of chemical reactions responsible for the signs and symptoms of disease, and for health (homeostasis), are addressed by quantum science, which allows us to redescribe the properties of DNA and proteins. This essay presents reflections on the fundamental processes that occur in humans from a quantum perspective, a possible dialogue despite the limited number of quantum theories and the pretension of considering the complex phenomena that characterize the health sciences as classical and reductionist.

Johanna Barzen, Frank Leymann

Prashant S. Emani, Jonathan Warrell, Alan Anticevic +14 more