⚛️ QLCM-Qiskit – Experimental Implementation

Quantum Language & Consciousness Model
Validated with real Swap-Test + FakeLima noise

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Author: Osmary Lisbeth Navarro Tovar
Lab: Quantum Communication & Consciousness Laboratory
Paper: https://ccuantica.com/qlcm/

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🔑 Experimental Results (n = 84, p < 0.001)

Metric	QLCM	Control (Haar)	Gain
Semantic Coherence H<sub>s</sub>	0.913 ± 0.047	0.412 ± 0.109	+121 %
Inter-Logon Overlap H<sub>IL</sub>	0.87 ± 0.03	0.50 ± 0.08	+74 %
IQC	91.2 ± 2.1	47.3 ± 5.0	+92 %
Backend	FakeLima (realistic noise)	Haar (random)	—

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🔬 What is QLCM-Qiskit?

QLCM-Qiskit is the experimental implementation of the Quantum Language & Consciousness Model (QLCM), a framework that treats language as a quantum field of conscious information.

Core Features:

• Logon Creation: Quantum states representing semantic quanta (1D-2D-3D auto-dimensioned)
• Real Swap-Test: Measures |⟨ψ|φ⟩|² under FakeLima noise
• Reproducible: Fixed seed + pinned dependencies
• Exportable: CSV + PNG outputs ready for papers

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📂 Repository Structure

File	Description
logon.py	QLCM Core Class – Creates Logons with real 3-qubit circuits
coherencia.py	Inter-Logon Correlation – Swap-Test real + FakeLima noise
experimento.ipynb	PoC Notebook – Run experiment, export CSV/PNG
requirements.txt	Pinned versions – Reproducible stack

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🚀 Quick Start (1 minute)

git clone https://github.com/ccuantica/QLCM-Qiskit.git
cd QLCM-Qiskit
python -m venv qlcm-env
source qlcm-env/bin/activate
pip install -r requirements.txt
jupyter lab experimento.ipynb


📊 What does the notebook do?
Creates 1D-2D-3D Logons with real quantum circuits
Measures H<sub> via Swap-Test under FakeLima noise
Exports qlcm_correlacion_auto_realtime.csv + qlcm_correlacion_vs_tiempo_auto.png
Reproducible: seed 42 + pinned dependencies
📝 Citation (BibTeX)
bibtex
Copy
@software{navarro_tovar_qlcm-qiskit_2025,
  author       = {Navarro Tovar, Osmary Lisbeth},
  title        = {{QLCM-Qiskit: Quantum Language \& Consciousness Model v1.0v}},
  month        = nov,
  year         = {2025},
  publisher    = {Zenodo},
  version      = {v1.0v},
  doi          = {10.5281/zenodo.17565578},
  url          = {https://doi.org/10.5281/zenodo.17565578},
  note         = {MIT License}
}
🔓 License
MIT © 2025 Osmary Lisbeth Navarro Tovar
Use it, modify it, cite it.