ABSTRACT The pursuit of quantum supremacy is currently bottlenecked not merely by engineering constraints, but by the fundamental thermodynamic limits of error correction and decoherence. While contemporary hardware engineering approaches this instability primarily as a challenge of cryogenic isolation, we propose a paradigm shift by bridging quantum information science with neurocomputational thermodynamics. By applying the High Entropy Predictive Organization Efficiency (HEPOE) framework to quantum architecture, we propose that the biological Sentinel Phenotype acts as a macro-scale analogue to quantum superposition, maintaining predictive hyper-coherence at a massive metabolic cost. Furthermore, we establish a teleological alignment between neurodivergent architectures and quantum bit (qubit) instability. We map thermodynamic impedance, analogous to the P-FIT bus resistance and data overload in the Autism Spectrum phenotype, onto the quantum noise that necessitates massive error-correction overheads. Simultaneously, we map flux oscillation, analogous to dopaminergic volatility in the ADHD architecture, onto quantum phase-flip errors and electromagnetic instability. Ultimately, we demonstrate that Landauer’s Principle dictates an inescapable thermal boundary for both high-fidelity biological systems and scalable quantum networks, offering a unified biophysical theory of universal high-fidelity computation. Keywords: HEPOE Theory. Quantum Decoherence. Biological Qubits. Landauer’s Principle. Thermodynamic Impedance. Quantum Error Correction (QEC). Sentinel Phenotype. Phase-Flip Errors.