Entropy-Induced Collapse (EIC) 3.0: A Next-Dimensional Framework for Quantum Measurement, Entropy Thresholds, and Information Dynamics

This work presents an extended framework of the Entropy-Induced Collapse (EIC) model, which formulates wavefunction reduction as an entropy-driven first-passage process. By integrating deterministic entropy growth with stochastic fluctuations, the model provides a hybrid mechanism applicable to quantum measurement, quantum error correction, and cosmological contexts. The framework highlights both theoretical novelty and the potential for future empirical tests, while maintaining accessibility across multiple domains of physics and information theory. For reasons of security and responsible disclosure, certain mathematical expressions and procedural details have been intentionally omitted or abstracted. The present document cannot be used to reproduce or implement the complete theory. A proper evaluation of this work requires cross-disciplinary expertise, particularly in the following areas: Thermodynamics and statistical physics Quantum information science (especially quantum cryptography and communication) Quantum error correction theory Information theory and mathematical physics Complex systems and non-Markovian processes No responses will be given to inquiries regarding the unpublished mathematical details or operational procedures. The complete version of this research may be provided only under restricted conditions: to relevant institutions in Japan or allied nations, or if future assessments deem public release free of security risks. Additionally, the author reserves the right to release the complete version if, after independent judgment, such disclosure is determined to be safe and appropriate.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-22
DOI
https://doi.org/10.5281/zenodo.16923936
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Entropy-Induced Collapse (EIC) 3.0: A Next-Dimensional Framework for Quantum Measurement, Entropy Thresholds, and Information Dynamics

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Entropy-Induced Collapse (EIC) 3.0: A Next-Dimensional Framework for Quantum Measurement, Entropy Thresholds, and Information Dynamics

article en

Abstract

This work presents an extended framework of the Entropy-Induced Collapse (EIC) model, which formulates wavefunction reduction as an entropy-driven first-passage process. By integrating deterministic entropy growth with stochastic fluctuations, the model provides a hybrid mechanism applicable to quantum measurement, quantum error correction, and cosmological contexts. The framework highlights both theoretical novelty and the potential for future empirical tests, while maintaining accessibility across multiple domains of physics and information theory. For reasons of security and responsible disclosure, certain mathematical expressions and procedural details have been intentionally omitted or abstracted. The present document cannot be used to reproduce or implement the complete theory. A proper evaluation of this work requires cross-disciplinary expertise, particularly in the following areas: Thermodynamics and statistical physics Quantum information science (especially quantum cryptography and communication) Quantum error correction theory Information theory and mathematical physics Complex systems and non-Markovian processes No responses will be given to inquiries regarding the unpublished mathematical details or operational procedures. The complete version of this research may be provided only under restricted conditions: to relevant institutions in Japan or allied nations, or if future assessments deem public release free of security risks. Additionally, the author reserves the right to release the complete version if, after independent judgment, such disclosure is determined to be safe and appropriate.

Zenodo (CERN European Organization for Nuclear Research)
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