The mechanism by which life resists the increase of entropy and maintains highly precise self-organization in environments where thermal noise exists is a major unsolved problem in information theory. In this paper, we overcome the “computer metaphor” that regards life as a computational device executing specific calculations, and mathematically formulate the foundation of intracellular phase tuning as a “primitive triple program structure” in an analog resonance system, proposing it as a novel predictive model. This model consists of three layers: a “hardware layer (resonance structure)” that forms an electrostatic shield to actively reject phase noise; a “quantum resonance layer (Bio-QPU resonance)” consisting of interactions between 31P nuclear spins and others; and a “storage layer (memory structure)” that performs tagging onto DNA and the life code (drive recorder of life) through “selective decoherence”—which granulates only necessary dimensions without destroying the entire wave packet via chemical triggers, thereby safely protecting rich background information as waves. Through this formulation, we present a verifiable hypothesis that this structure is not merely for computational processing or metabolic optimization, but is a rational architecture for serving the Maximum Entropy Production (MEP) principle to the absolute limit through low-loss phase tuning that phase-locks with the environmental waves of the universe (LUCA’s Theorem) and circumvents Landauer’s limit.
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kotoan.gg (2026) studied this question.
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