Although sleep is a phenomenon universally observed across all life, relying solely on conventional biochemical interpretations (such as the removal of fatigue substances) presents difficulties in physically explaining the fatal breakdown of spatial cognition (loss of depth perception and motor incoordination) that occurs during sleep deprivation. In this paper, we overcome the metaphor that regards life as a “computer” computing specific algorithms. Based on the theoretical paradigm of the biological system as an “in vivo analog quantum synchronizer (phase synchronizer: Bio-QPU),” we reformulate sleep as the “active rejection of phase noise through the disassembly of hypertrophied variable multi-cores (LLPS)” and “autonomous calibration (resonance adjustment) of absolute coordinates based on LUCA’s Theorem,” proposing this as a verifiable hypothesis. We model the repetitive cycle of “selective fixation of only necessary dimensions to the life code (drive recorder of life) accompanied by the protection of background waves (selective decoherence)—sublimating the error of artificial machines into a function—and perfect phase synchronization” during non-REM sleep, and “verification of the resonance coordinate system through chemical triggers by the autonomous analog tuner (Glial OS)” during REM sleep, as a rational optimization process for reconstructing the absolute coordinates of the life system and rejecting phase noise.
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