subjective-quantum-structures
Categorical model of subjective observer collapse and cognitive projections.
https://github.com/khomyakov-vladimir/subjective-quantum-structures
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Keywords
Repository
Categorical model of subjective observer collapse and cognitive projections.
Basic Info
- Host: GitHub
- Owner: Khomyakov-Vladimir
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://digitalphysics.ru
- Size: 1010 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Subjective Quantum Structures — Decoherence and Observer Collapse Simulation
📌 Note: A newer version of the related article is available:
Version 3.0 – June 2025: https://doi.org/10.5281/zenodo.15706835
Please consider referring to this updated version for the most recent results and clarifications.📌 Note: This model complements the simulator-based framework described in
Cognitive Simulator and Subjective Physics – Version 6.0 (June 2025)
https://doi.org/10.5281/zenodo.15705869
This repository contains the simulation code and visualizations accompanying the second study on subjective quantum structures, observer decoherence, and categorical collapse models in the context of cognitive quantum physics. This work extends the simulation framework introduced in the previous publication:
Khomyakov, V. (2025). Subjective Quantum Structures: A Categorical Model of Observer Collapse. Zenodo. https://doi.org/10.5281/zenodo.15670260
Overview
The project includes the following Python modules:
experiment_renkel_decoherence.pyMain simulation script modeling entropy dynamics and collapse probabilities under observer decoherence.observer_simulator_decoherence.pyCore logic for cognitive observers, modeling decoherence as emergent instability in subjective phase space.visualization_decoherence.pyPlotting and figure generation for all results used in the publication.test_visualization.pyUnit tests to ensure correctness and consistency of generated visualizations.config_decoherence.pyStores default parameters and simulation constants (step count, seeds, thresholds) for reproducible experiments.
All plots are saved to the results/ directory in both .pdf and .png formats.
Directory Structure
decoherence_experiment/
├── LICENSE
├── .gitignore
├── README.md
├── requirements.txt
├── config_decoherence.py
├── experiment_renkel_decoherence.py
├── observer_simulator_decoherence.py
├── visualization_decoherence.py
├── test_visualization.py
├── results/
│ ├── ...
└── figures/
├── decoherence_effects.pdf
├── decoherence_effects.png
├── plot_collapse.pdf
├── plot_collapse.png
├── plot_decoherence.pdf
├── plot_decoherence.png
├── plot_entropy.pdf
├── plot_entropy.png
├── plot_entropy_comparison.pdf
└── plot_entropy_comparison.png
Requirements
This project uses the following Python libraries:
numpymatplotlibtqdmpytest
Install them with:
bash
pip install -r requirements.txt
Usage
To run the simulation:
bash
python experiment_renkel_decoherence.py
Generated plots will be saved in the results/ directory. The script automatically creates the directory if it doesn't exist.
To generate visualizations independently:
bash
python visualization_decoherence.py
To test plot generation:
bash
python test_visualization.py
Output figures
decoherence_effects.pdf/png
Summary plot combining all key dynamics.
Integrates entropy, collapse probability, and decoherence effects.plot_collapse.pdf/png
Observer collapse probability vs. λ (state distinguishability).plot_entropy_comparison.pdf/png
Comparison of entropy: decoherence vs original.plot_entropy.pdf/png
Cognitive entropy as a function of resolution ε.
Shows quantized entropy transitions during cognitive differentiation.plot_decoherence.pdf/png
Decoherence effect on state-space trajectories.
Configuration
Simulation parameters are defined in config_decoherence.py. By default:
python
STEPS = 100
SEED_DECOHERENCE = 42
SEED_ORIGINAL = 123
These can be overridden directly in the script or extended via CLI in future versions.
License
This project is licensed under the terms of the MIT License.
Citation
🔓 Open access publication available at Zenodo.
If you use this code or refer to the associated research, please cite:
bibtex
@misc{khomyakov2025subjective_quantum_structures,
author = {Khomyakov, Vladimir},
title = {Subjective Quantum Structures: A Categorical Model of Observer Collapse},
year = 2025,
publisher = {Zenodo},
doi = {10.5281/zenodo.15670260},
url = {https://doi.org/10.5281/zenodo.15670260},
note = {Available at Zenodo; open source code at \url{https://github.com/Khomyakov-Vladimir/subjective-quantum-structures}}
}
Related Publications
- 📘 Cognitive Distinguishability and Quantum Observer Simulation — A Phase Transition Perspective
- 🧐 Based on the formalism of categorical observers and subjective decoherence in emergent quantum cognition
Owner
- Login: Khomyakov-Vladimir
- Kind: user
- Repositories: 1
- Profile: https://github.com/Khomyakov-Vladimir
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it using the metadata below."
title: "Subjective Quantum Structures: Observer Collapse and Decoherence Simulation"
authors:
- family-names: Khomyakov
given-names: Vladimir
date-released: 2025-06-15
version: "1.0.0"
doi: 10.5281/zenodo.15670260
url: https://doi.org/10.5281/zenodo.15670260
repository-code: https://github.com/Khomyakov-Vladimir/subjective-quantum-structures
license: MIT
keywords:
- quantum observer
- subjective physics
- observer collapse
- decoherence
- cognitive entropy
- simulation
- phase transition
- quantum measurement
type: software
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Dependencies
- matplotlib ==3.8.4
- numpy ==1.26.4
- pytest ==8.2.1
- tqdm ==4.66.4