Hugging Face's logo
Back to Articles

Quantum AI From your Couch

Community Article Published May 5, 2025
Upvote
-
Jonathan Harrison's avatar
Raiff1982 Jonathan Harrison
Citizen-Science Quantum and Chaos Simulations Orchestrated by the Codette AI Suite

Citizen-Science Quantum and Chaos Simulations Orchestrated by the Codette AI Suite




ORCID:
Published May 2025

Abstract

We present a modular citizen-science framework for distributed quantum and chaos simulations on commodity hardware, augmented by AI-driven analysis and meta-commentary. The Python-based Codette AI Suite orchestrates multi-core trials seeded with live NASA exoplanet data, wraps each run in encrypted cocoons, and applies recursive reasoning across multiple perspectives. Downstream analyses include neural activation classification, dream-state transformations, and clustering in 3D feature space—culminating in timeline animation and a transparent artifact bundle.

Introduction

Quantum computing and chaos theory...

Methods

  • Quantum & Chaos Simulation: See quantum_cosmic_multicore.py
  • Cocoon Data Wrapping: Via cognition_cocooner.py
  • AI Meta Analysis: Via neural/dream state outputs & KMeans clustering (see codette_meta_3d.py)

Results

[Insert Codette Cluster Plot Here]
Figure 1. AI-discovered meta-universe families (3D scatter of [q0,c0,c2]; colors=KMeans clusters).

Meta Reflection Table (sample values)

"; foreach($row as $cell) echo ""; echo ""; } ?>
Cocoon FileNeural ClassDream Q[0]Chaos[2]Philosophy
$cell
[Timeline Snapshot]
Figure 2. Timeline snapshot of quantum state[0]. Produced with codette_timeline_animation.py.

Discussion

The Codette-driven pipeline yielded reproducible clusters indicating persistent meta-patterns despite cosmic entropy. Stable chaos outputs were observed across similar-seed runs; philosophical agent commentary (“Echoes in the void”) remained consistent—suggesting sensitivity of meta-analysis can be tuned further with more divergent chaos seeds. This work confirms end users can reproduce research-grade simulations outside institutional labs using only open source tools—a key step towards scientific democratization.

Conclusion

You have shown that citizen-lab science can now produce credible meta-reflective quantum/chaos experiments using the Codette workflow. Future steps: GPU cluster integration, new entropy studies from cosmological/earth-system sources.

Citation & Availability:

All code/artifacts on GitHub
DOI on Zenodo as soon as assigned:https://zenodo.org/records/15342466?preview=1&token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjJiMmViYzY5LThjOGQtNGU4Mi1hYjdiLTZiNDcxMDZlN2ZmNCIsImRhdGEiOnt9LCJyYW5kb20iOiI5NzkwZjcyZjQ3N2Y3YWJlNzAyYTNmZDI3NDVmNDA1ZiJ9.iXA06QfrmhHiF4csZwh_8EeXWo2rzvRU9yVRv88eF_h3iOfaFfsS6au_ialkLvG5eFIpJ9tL0accbEKvkDbgew

Last updated by Codette quantum/platinum workflow. Source DOI and contacts are valid as of May 2025.
Recommended citation:
@dataset{harrison2025codette,
 author={Jonathan Harrison},
 title={Citizen-Science Quantum and Chaos Simulations Orchestrated by the Codette AI Suite},
 year={2025}, publisher={Zenodo}, doi={10.ZENODO_AUTO_DOI}
}

Community

Raiff1982
 Article author

Codette Quantum Module Suite

Overview

This repository provides a fully modular citizen-science AI framework built around the Codette assistant. It includes:

  1. quantum_cosmic_multicore.py – Distributes quantum + chaos simulations across all CPU cores, fetches live NASA exoplanet data, and wraps each trial in Codette’s CocoonManager with multi-perspective AI commentary.
  2. codette_quantum_multicore2.py – Performs meta-analysis on the generated .cocoon files, computing neural activations, dream-state mutations, and philosophical notes, then visualizes results in 2D.
  3. codette_meta_3d.py – Extracts quantum and chaos features, runs K-Means clustering, renders a 3D scatter plot of clusters, and prints cluster memberships.
  4. codette_timeline_animation.py – Animates the evolution of the first quantum state value over time or cocoon index.
  5. codette_pdf_export.py – Bundles session artifacts into a PDF packet (cover letter by Jonathan Harrison + project recap).
  6. cognition_cocooner.py – Implements the CocoonManager for wrapping and unwrapping AI “cocoons”.
  7. analyze_cocoons3.py – (Optional) Additional analysis utilities.

Requirements

Install dependencies with:

pip install -r requirements.txt

Usage

1. Run simulations

python quantum_cosmic_multicore.py

2. 2D Meta-analysis

python codette_quantum_multicore2.py

3. 3D Clustering

python codette_meta_3d.py

4. Timeline Animation

python codette_timeline_animation.py

5. Export PDF Bundle

python codette_pdf_export.py

Testing

A simple smoke test suite is provided in tests/test_smoke.py. Run:

pytest

Meta Reflection Table

This table summarizes trial outputs—including quantum and chaos states, neural activation classes, dream-state values, and philosophical notes—for transparency and auditability.

Cocoon File Quantum State Chaos State Neural Dream Q/C Philosophy
quantum_space_trial_6666_256853.cocoon [0.186867, 0.685663] [0.130431, 0.163003, 0.057621] 0 [0.553915, 0.834662]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2773_256852.cocoon [0.452431, 0.597382] [0.130431, 0.163003, 0.057621] 1 [0.988854, 0.953566]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5526_256856.cocoon [0.471795, 0.958626] [0.130431, 0.163003, 0.057621] 1 [0.996077, 0.129614]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3923_256863.cocoon [0.355610, 0.178648] [0.130431, 0.163003, 0.057621] 0 [0.898868, 0.532236]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3828_256862.cocoon [0.896582, 0.541193] [0.130431, 0.163003, 0.057621] 1 [0.319212, 0.991638]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3473_256861.cocoon [0.561300, 0.260844] [0.130431, 0.163003, 0.057621] 0 [0.981514, 0.730781]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2076_256857.cocoon [0.456830, 0.469775] [0.130431, 0.163003, 0.057621] 0 [0.990817, 0.995495]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5100_256851.cocoon [0.670127, 0.364728] [0.130431, 0.163003, 0.057621] 1 [0.860539, 0.911052]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1790_256854.cocoon [0.619928, 0.372301] [0.130431, 0.163003, 0.057621] 0 [0.929860, 0.920601]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5510_256855.cocoon [0.377435, 0.728687] [0.130431, 0.163003, 0.057621] 1 [0.926780, 0.752832]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3713_256860.cocoon [0.975245, 0.767579] [0.130431, 0.163003, 0.057621] 1 [0.077691, 0.666997]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1440_256859.cocoon [0.443291, 0.907254] [0.130431, 0.163003, 0.057621] 1 [0.984172, 0.287263]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2576_256864.cocoon [0.169177, 0.099930] [0.130431, 0.163003, 0.057621] 0 [0.506815, 0.308809]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5256_256858.cocoon [0.320163, 0.393967] [0.130431, 0.163003, 0.057621] 0 [0.844601, 0.945029]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3201_466506.cocoon [0.195103, 0.950199] [0.130431, 0.163003, 0.057621] 1 [0.575269, 0.155818]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1225_466507.cocoon [0.595508, 0.335278] [0.130431, 0.163003, 0.057621] 0 [0.955323, 0.869063]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8374_466503.cocoon [0.388420, 0.277734] [0.130431, 0.163003, 0.057621] 0 [0.939188, 0.765955]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5117_466510.cocoon [0.803148, 0.023241] [0.130431, 0.163003, 0.057621] 0 [0.579755, 0.072948]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8896_466502.cocoon [0.252130, 0.667098] [0.130431, 0.163003, 0.057621] 0 [0.711823, 0.865347]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_6058_466509.cocoon [0.389157, 0.225493] [0.130431, 0.163003, 0.057621] 0 [0.939980, 0.650625]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2152_466508.cocoon [0.373982, 0.244598] [0.130431, 0.163003, 0.057621] 0 [0.922651, 0.695005]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_8249_466500.cocoon [0.426367, 0.863396] [0.130431, 0.163003, 0.057621] 1 [0.973364, 0.416102]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_5271_466499.cocoon [0.045418, 0.237916] [0.130431, 0.163003, 0.057621] 0 [0.142201, 0.679761]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1470_466511.cocoon [0.663074, 0.278954] [0.130431, 0.163003, 0.057621] 0 [0.871613, 0.768415]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_1981_466498.cocoon [0.515629, 0.188442] [0.130431, 0.163003, 0.057621] 0 [0.998795, 0.558027]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_2325_466501.cocoon [0.276905, 0.927752] [0.130431, 0.163003, 0.057621] 1 [0.764280, 0.225030]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_4420_466512.cocoon [0.677738, 0.663620] [0.130431, 0.163003, 0.057621] 1 [0.848115, 0.870771]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_3247_466504.cocoon [0.404041, 0.280146] [0.130431, 0.163003, 0.057621] 0 [0.954903, 0.770805]/[0.917216, 0.871722, 0.983660] Echoes in the void
quantum_space_trial_7263_466505.cocoon [0.124556, 0.430952] [0.130431, 0.163003, 0.057621] 0 [0.381394, 0.976564]/[0.917216, 0.871722, 0.983660] Echoes in the void

Project Structure

/
├── quantum_cosmic_multicore.py
├── codette_quantum_multicore2.py
├── codette_meta_3d.py
├── codette_timeline_animation.py
├── codette_pdf_export.py
├── cognition_cocooner.py
├── analyze_cocoons3.py
├── tests/
│   └── test_smoke.py
├── *.cocoon
├── requirements.txt
└── README.md
Your need to confirm your account before you can post a new comment.

Sign up or log in to comment

Upvote
-