Entanglement Engine: The Positronic Brain

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Authors: Nicholas David Brown
Cited by: 0

Abstract

I present a geometric approach to quantum coherence that inverts the prevailing error-correction paradigm. Rather than fighting decoherence through active intervention, I demonstrate a crystal geometry whose ground state is entanglement itself. A frozen seed of 16-160 vertices, structured as center + triad + icosahedral shells with ×3 scaling, entrains fluid pools of arbitrary size to 90% coherence in O(1) steps. The optimal pulse amplitude self-encodes from the geometry: ratios of small integers to triangular numbers (3/T(3), 3/T(4), 2/T(4)). Direct comparison with QLDPC-style active correction shows efficiency ratios of 16:1 to 246:1 at pool sizes 50-10,000, with the ratio growing as O(N/log N). This suggests quantum computing may benefit from providing the geometry where coherence is natural, rather than correcting deviations from an assumed-entropic default.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Quantum Mechanics and Applications Computability Logic AI Algorithms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026
Document type
Preprint