Recursive Instability Collapse (RIC): An Adaptive Monitoring Principle for Open Quantum Systems

We propose Recursive Instability Collapse (RIC) as an adaptive monitoring principle for open quantum systems. The central hypothesis is that quantum superposition entails a physical cost, modeled as an "instability" functional C[ρ]. This functionalschedules trajectory-level measurement rates via a feedback loop based on the classical measurement record. Crucially, the collapse threshold C∗ is physically grounded in the Bremermann limit for maximum information processing rates. We present numerical evidence demonstrating emergent properties: (1) Thermodynamic Regulation: The system exhibits saturation of collapsefrequency under high-energy driving. (2) Gravitational Zeno-Locking: Strong coupling (simulating mass) suppresses superposition amplitudesto the femto-scale. (3) Biological Modulation: Varying the instability threshold reproduces thedynamic signature of loss of consciousness. The framework offers a unified, falsifiable perspective on the transition from quantum to classical and decision neuroscience.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-08
DOI
https://doi.org/10.5281/zenodo.18002411
Citations
2
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
2.49
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article

Recursive Instability Collapse (RIC): An Adaptive Monitoring Principle for Open Quantum Systems

Gestan Morgan
2 citations
Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
2.49
article

Recursive Instability Collapse (RIC): An Adaptive Monitoring Principle for Open Quantum Systems

Gestan Morgan
article en
2 citations

Abstract

We propose Recursive Instability Collapse (RIC) as an adaptive monitoring principle for open quantum systems. The central hypothesis is that quantum superposition entails a physical cost, modeled as an "instability" functional C[ρ]. This functionalschedules trajectory-level measurement rates via a feedback loop based on the classical measurement record. Crucially, the collapse threshold C∗ is physically grounded in the Bremermann limit for maximum information processing rates. We present numerical evidence demonstrating emergent properties: (1) Thermodynamic Regulation: The system exhibits saturation of collapsefrequency under high-energy driving. (2) Gravitational Zeno-Locking: Strong coupling (simulating mass) suppresses superposition amplitudesto the femto-scale. (3) Biological Modulation: Varying the instability threshold reproduces thedynamic signature of loss of consciousness. The framework offers a unified, falsifiable perspective on the transition from quantum to classical and decision neuroscience.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Quantum Mechanics and Applications
2.49
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