Quantum Information Biology

Shantilal Gangadas Goradia

Ivan B. Djordjević

Elena Fimmel, Andrei Yu. Khrennikov, N.Ž. Mišić +1 more

Masanari Asano, Irina Basieva, Andrei Yu. Khrennikov +3 more

Jincheng Zhang

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.

Jincheng Zhang

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.