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

categorical-model cognitive-entropy collapse information-geometry landauer observer phase-transitions subjective-physics
Last synced: 6 months ago · JSON representation ·

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
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categorical-model cognitive-entropy collapse information-geometry landauer observer phase-transitions subjective-physics
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme License Citation Zenodo

README.md

Subjective Quantum Structures — Decoherence and Observer Collapse Simulation

DOI License: MIT

📌 Note: A newer version of the related article is available: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.py Main simulation script modeling entropy dynamics and collapse probabilities under observer decoherence.

  • observer_simulator_decoherence.py Core logic for cognitive observers, modeling decoherence as emergent instability in subjective phase space.

  • visualization_decoherence.py Plotting and figure generation for all results used in the publication.

  • test_visualization.py Unit tests to ensure correctness and consistency of generated visualizations.

  • config_decoherence.py Stores 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:

  • numpy
  • matplotlib
  • tqdm
  • pytest

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

Owner

  • Login: Khomyakov-Vladimir
  • Kind: user

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

requirements.txt pypi
  • matplotlib ==3.8.4
  • numpy ==1.26.4
  • pytest ==8.2.1
  • tqdm ==4.66.4