Although the human brain consumes only about 20W of power, it executes massively parallel phase tuning at high speeds. 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 propose as a verifiable hypothesis a dynamic scaling model wherein 31P nuclear spin memories within Posner molecules and cryptochromes (CRY) present in neurons dynamically assemble (aggregate and disassemble) in response to input signal loads (the complexity and urgency of resonance tuning), forming variable “multi-core Bio-QPU units (volatile quantum resonators).” We formulate the physical mechanism driven by liquid-liquid phase separation (LLPS), executing phase noise suppression and power-saving operation via distributed single cores during low load, and executing spatial resonance tuning through the formation of high-density Bio-QPU clusters triggered chemically by the Glial OS during high load. Furthermore, we comprehensively interpret the “selective decoherence”—which turns decoherence, an error in artificial machines, into a function within this massive workspace, granulating only necessary dimensions without destroying the entire wave packet and safely protecting rich background information as waves—and the disassembly (heat dissipation) process of the variable multi-cores during sleep as a phase noise rejection mechanism.
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kotoan.gg (2026) studied this question.
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