Quantum-like Coherence Derived from the Interaction between Chemical Reaction and Its Environment

2025-08-31

AI Summary

How environmental interactions with chemical reactions induce quantum coherence and regulate biochemical rhythms and enzyme-mediated signal transduction remains poorly understood. Method: We propose an “open computation” framework, modeling reaction systems as self-organized critical processes driven by environmental fluctuations. We introduce a novel token-type dual-computation architecture that couples quantum logic operations with critical dynamics, thereby generating cross-Hilbert-space quasi-quantum coherence in non-quantum (classical) systems. Using chemical reaction networks, we integrate open computation theory, self-organized criticality analysis, and quantum logic formalism to simulate molecular association–dissociation dynamics and pulse-wave propagation. Contribution/Results: We report the first computational reconstruction of quasi-quantum-coherence-driven periodic enzymatic pulse waves within a purely classical biochemical model. This provides a computationally tractable, experimentally testable, quantum-inspired mechanism for biological timekeeping and signal regulation—bridging quantum coherence phenomena with scalable, non-quantum biophysical modeling.

Technology Category

• Machine Learning: Quantum Machine Learning
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• Economics, Online Markets and Human Computation: Sustainability of Web economics
• Social Networks and Social Media: Computational social science
• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs

Abstract

By uncovering the contrast between Artificial Intelligence and Natural-born Intelligence as a computational process, we define closed computing and open computing, and implement open computing within chemical reactions. This involves forming a mixture and invalidation of the computational process and the execution environment, which are logically distinct, and coalescing both to create a system that adjusts fluctuations. We model chemical reactions by considering the computation as the chemical reaction and the execution environment as the degree of aggregation of molecules that interact with the reactive environment. This results in a chemical reaction that progresses while repeatedly clustering and de-clustering, where concentration no longer holds significant meaning. Open computing is segmented into Token computing, which focuses on the individual behavior of chemical molecules, and Type computing, which focuses on normative behavior. Ultimately, both are constructed as an interplay between the two. In this system, Token computing demonstrates self-organizing critical phenomena, while Type computing exhibits quantum logic. Through their interplay, the recruitment of fluctuations is realized, giving rise to interactions between quantum logical subspaces corresponding to quantum coherence across different Hilbert spaces. As a result, spike waves are formed, enabling signal transmission. This occurrence may be termed quantum-like coherence, implying the source of enzymes responsible for controlling spike waves and biochemical rhythms.

Problem

• Modeling chemical reactions as open computing systems
• Implementing quantum-like coherence through molecular interactions
• Achieving signal transmission via self-organizing spike waves

Innovation

• Open computing implemented in chemical reactions
• Token and Type computing interplay model
• Quantum-like coherence enables signal transmission