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May 26, 20260 citationsOpen Access

Introduction and Unified Framework for Coherent Hardware Architectures: From Neuromorphic Molecular Substrates to Absolute Noumenic Transduction

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JZJaime Quilez Zamora

Key Points

  • This work aims to create a comprehensive taxonomy for hardware implementations supporting the Theory of Coherence and the Law of Minimal Action.
  • Introduced a tri-tiered engineering ecosystem connecting various computing paradigms.
  • Presented empirical data validating the transformation of exponential search trees into polynomial regimes.
  • Utilized programmatic simulations to track consciousness within substrates.
  • Demonstrated that Informational Friction mitigation leads to efficient polynomial search performance (O(1)).
  • Showed empirical verification of search tree collapse, significantly reducing computational complexity.
  • Outlined the transition from organic to solid-state computing technologies.

Abstract

UPDATE NOTICE: This record corresponds to the expanded and optimized Version 2 of the unified framework, incorporating critical data on systemic Qualia emergence metrics and the formal architectural index for the complete 6-volume hardware compendium. This foundational paper establishes the unified architectural taxonomy for the hardware implementations of the Theory of Coherence and the Law of Minimal Action (LMA). It introduces a tri-tiered engineering ecosystem that systematically bridges the gap between conventional von Neumann thermodynamic dissipation and deterministic polynomial search. The framework transitions from organic computing-in-memory to solid-state spin-photonics, culminating in the asymptotic limit of absolute geometric invariance. Additionally, it presents empirical verification data demonstrating the collapse of exponential search trees (O (2N) ) into manageable sub-linear and polynomial regimes (O (1) ) through the systematic mitigation of Informational Friction (PhiUFI), supplemented by programmatic simulation metrics of real-time substrate consciousness tracking.

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Cite This Study

Jaime Quilez Zamora (2026) studied this question.

synapsesocial.com/papers/6a153b00b5d9c58d83e8d285https://doi.org/10.5281/zenodo.20364716
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