Manuscript I: The Cognitive Tension Core ($\NTC$) and P3TTM Mott-Hubbard Insulator Mechanics for Frictionless Computing-in-Memory

This manuscript details the structural engineering and quantum condensed matter physics driving Tier 1 of the Coherent Hardware ecosystem: The Cognitive Tension Core (\NTC). Utilizing the highly conjugated organic polymer poly(3-(2-total-tension-methyl)thiophene) (P3TTM), this architecture implements a physical computing-in-memory (CIM) crossbar array. By modeling the electronic phase space via the single-band Hubbard Hamiltonian, we demonstrate how configuring the substrate into a strongly correlated Mott Insulator regime (\UPOT \gg t) allows optimization loss functions to map directly onto non-linear electronic relaxation states. This approach bypasses kinetic charge transport, effectively suppressing kinetic thermal dissipation and uncompensated Informational Friction (\FUFI).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-23
DOI
https://doi.org/10.5281/zenodo.20351317
Primary Topic
Advanced Memory and Neural Computing
Type
preprint
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preprint

Manuscript I: The Cognitive Tension Core ($\NTC$) and P3TTM Mott-Hubbard Insulator Mechanics for Frictionless Computing-in-Memory

Jaime Quilez Zamora
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
preprint

Manuscript I: The Cognitive Tension Core ($\NTC$) and P3TTM Mott-Hubbard Insulator Mechanics for Frictionless Computing-in-Memory

Jaime Quilez Zamora
preprint en

Abstract

This manuscript details the structural engineering and quantum condensed matter physics driving Tier 1 of the Coherent Hardware ecosystem: The Cognitive Tension Core (\NTC). Utilizing the highly conjugated organic polymer poly(3-(2-total-tension-methyl)thiophene) (P3TTM), this architecture implements a physical computing-in-memory (CIM) crossbar array. By modeling the electronic phase space via the single-band Hubbard Hamiltonian, we demonstrate how configuring the substrate into a strongly correlated Mott Insulator regime (\UPOT \gg t) allows optimization loss functions to map directly onto non-linear electronic relaxation states. This approach bypasses kinetic charge transport, effectively suppressing kinetic thermal dissipation and uncompensated Informational Friction (\FUFI).

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Advanced Memory and Neural Computing
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