mlsanityData to 7 Oct 2026

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

arXiv 2509.01021 ↗First posted 31 Aug 2025cs.AI nlin.AOcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 67 references that are in the map. First posted on arXiv 31 Aug 2025.

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2 of 67 references.

References · 2

  1. 2015Memory and information processing in neuromorphic systemscited by 47
  2. 2014Quantum Cognition based on an Ambiguous Representation Derived from a Rough Set Approximationcited by 1

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