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Unified Uncertainty Theory A New Paradigm at the Intersection of Quantum, Classical, and Relativistic Theories

Hakan ÜNAL

Published Sep 6, 2026• 0 citations
Publisher
DOI
10.5281/zenodo.22536834

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This paper proposes a comprehensive categorical framework for unifying classical and quantum probabilistic logics. We leverage the inherent compositional and structural advantages of category theory to construct a common mathematical language capable of expressing both Kolmogorovian probability and the non-Boolean structures characteristic of quantum mechanics. By treating systems and processes as objects and morphisms within suitable monoidal categories, we demonstrate how core concepts like states, observables, measurements, and conditioning can be abstractly represented and seamlessly transitioned between classical and quantum domains. The framework utilizes probability monads for classical uncertainty and dagger compact closed categories for quantum processes, showing how these distinct structures can be seen as instances of a more general categorical paradigm. This unification not only provides a deeper foundational understanding of uncertainty across different physical theories but also opens new avenues for developing hybrid probabilistic-logical systems in fields such as artificial intelligence and quantum computation.

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I am pleased to share my work on the Unified Harmonic Framework (UHF), a novel theoretical and computational approach to hybrid quantum–classical systems. This framework integrates harmonic resonance, topological feedback, and observer-coupled dynamics to explore portable, adaptive computation at the intersection of quantum and classical domains. The release includes minimal, safe simulations to illustrate core principles while maintaining full protection of proprietary engine implementations. This publication serves as a timestamped anchor of authorship for a new computational paradigm, providing a peer-discernible reference for ongoing research in hybrid computation, topological physics, and observer-integrated systems.
This article explores the profound epistemological and philosophical intersection between modern quantum theory and ancient Chinese Laozi’s philosophy to navigate the complexities of chaos and uncertainty. By challenging the limitations of classical Newtonian reductionism, which assumes the whole is merely the sum of its parts, the author argues that macroscopic life, cognitive processes, and human consciousness inherently operate under quantum-like laws characterized by wave-particle duality and state superposition. The framework map parallels the foundations of quantum mechanics and Taoist ontology, interpreting the core principles of Yin-Yang complementarity and the mutual creation of being ( yo u) and non-being ( wu ) as classical reflections of quantum dualities and entanglement. Furthermore, the study reinterprets Laozi’s cosmological principle that "Three gives birth to all things," aligning it with modern chaos theory and quantum mechanics, in which a threefold orthogonal superposition serves as the minimal source for resolving complexity and indeterminacy. Through this interdisciplinary dialogue, the article advocates for a paradigm shift from rigid, fragmented academic mindsets to an integrated, wave-like, holistic worldview—unifying Eastern wisdom and Western science—to foster cognitive evolution, innovative educational models, and sustainable human development in the era of artificial intelligence.
This paper proposes a comprehensive categorical framework for unifying classical and quantum probabilistic logics. We leverage the inherent compositional and structural advantages of category theory to construct a common mathematical language capable of expressing both Kolmogorovian probability and the non-Boolean structures characteristic of quantum mechanics. By treating systems and processes as objects and morphisms within suitable monoidal categories, we demonstrate how core concepts like states, observables, measurements, and conditioning can be abstractly represented and seamlessly transitioned between classical and quantum domains. The framework utilizes probability monads for classical uncertainty and dagger compact closed categories for quantum processes, showing how these distinct structures can be seen as instances of a more general categorical paradigm. This unification not only provides a deeper foundational understanding of uncertainty across different physical theories but also opens new avenues for developing hybrid probabilistic-logical systems in fields such as artificial intelligence and quantum computation.