(Short Paper16) Supercellular Synchronization and High-Light Adaptation in the Four-Celled Green Alga Tetrabaena: Opti mization Model of Phase Noise Rejection and Selective Deco herence via a 4-Unit Bio-QPU Array and "LUCA's Theorem"

Abstract

The green alga Tetrabaena socialis, which forms a colony by combining four single cells into a square shape, exhibits perfectly synchronized swimming even though each cell possesses independent flagella. Unlike closely related species that take evasive action against high-light stress, it has a unique survival strategy of synchronously activating a photoprotective metabolic system while remaining in place. In this paper, overcoming the metaphor that regards life as a “computer” computing specific algorithms, and based on the paradigm of the biological system as an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” we formulate the 4 cell structure of Tetrabaena as the “smallest multi-bit quantum array (Level 2 Bio-QPU array) that actively rejects phase noise through ‘selective decoherence’ sublimated into a function, which granulates only necessary dimensions while maintaining rich background information as waves via chemical triggers, by spatially coupling four local Bio-QPUs.” We propose this as a verifiable model. We investigate the mechanism by which these 4 cells, not as a computational circuit like an artificial machine but as a “single analog quantum resonance system,” phase-synchronize with the environmental waves of the universe (LUCA’s Theorem) via the 31P nuclear spin memory within Posner molecules and quantum correlation (QPC) through cell adhesion surfaces, executing collective phase optimization (resonance tuning) in accordance with the Maximum Entropy Production (MEP) principle.