Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

International Journal of Theoretical & Computational Physics

Fractal Quantum Entanglement and Information Theory Using the McGinty Equation

Published Apr 28, 2025• 0 citations
Publisher

Abstract

This hypothesis explores the application of the McGinty Equation to fractal quantum entanglement and information theory, proposing that the entanglement entropy and information flow in quantum systems exhibit fractal properties. The primary objective is to understand how fractal geometry influences quantum entanglement, information transmission, and processing, offering new insights into quantum communication, computation, and the fundamental limits of information theory.

DOI
10.47485/2767-3901.1059

Related papers

Fractal Quantum Dynamics of Bose-Einstein Condensates Using the McGinty Equation

This hypothesis explores the application of the McGinty Equation to fractal quantum chaos and dynamical systems, proposing that the chaotic behavior of quantum systems exhibits fractal properties. The primary objective is to understand how fractal geometry influences the dynamics of quantum systems, including quantum chaos, phase space structures, and the evolution of quantum states, providing new insights into the interplay between quantum mechanics and chaos theory.

International Journal of Theoretical & Computational Physics•Apr 28, 2025•0 citations

Fractal Quantum Biology and the Role of Quantum Effects in Biological Systems Using the McGinty Equation

This hypothesis explores the application of the McGinty Equation to fractal quantum biology, proposing that biological systems, including molecular processes and cellular structures, exhibit fractal characteristics influenced by quantum effects. The primary objective is to understand how fractal geometry and quantum phenomena, such as coherence and tunneling, influence biological functions and processes, providing new insights into the fundamental mechanisms of life and the potential role of quantum mechanics in biological systems.

International Journal of Theoretical & Computational Physics•Apr 28, 2025•0 citations

Fractal Time Dynamics in Quantum Systems Using the McGinty Equation

This hypothesis investigates the application of the McGinty Equation to fractal time dynamics in quantum systems. It proposes that the evolution of quantum states exhibits fractal properties in time, affecting the behavior and interactions of quantum particles. The primary objective is to understand the implications of fractal time on quantum mechanics, providing new insights into time-dependent phenomena and the nature of time in quantum theory.

International Journal of Theoretical & Computational Physics•Apr 19, 2025•0 citations

Fractal Geometry as a Foundation for Quantum Information – Exploring Entanglement through Self-Similarity

Jincheng Zhang

Abstract: Quantum information research predominantly utilizes discrete states, often relying on linear algebra and matrix representations. This paper explores the potential of fractal geometry as a foundational element, proposing that fractal patterns offer a novel approach to understanding and manipulating entanglement – a key challenge in quantum information processing. We investigate the relationship between fractal geometry and quantum entanglement, suggesting that self-similarity inherent in fractal structures could be leveraged to enhance quantum coherence and facilitate the observation of entanglement phenomena. This work contributes to a broader theoretical framework for investigating quantum information by proposing a unique connection between fractal geometry and the fundamental properties of quantum systems.

•Sep 4, 2026•0 citations

Fractal Quantum Entanglement

Jincheng Zhang

This paper investigates the potential of fractal geometry as a novel framework for representing and manipulating quantum entanglement. We propose a quantum algorithm predicated on self-similarity principles, aiming to enhance coherence and information transfer through a fractal-based encoding scheme. The core claim is that carefully designed fractal representations can mitigate noise and improve the robustness of quantum systems, thereby offering a fundamentally new approach to quantum information processing. The work details the algorithmic design, potential benefits, and challenges associated with this exploration, emphasizing the connection between fractal geometry and the fundamental properties of quantum entanglement.

•Sep 6, 2026•0 citations

Quantum Entanglement Entropy Information Theory

Jincheng Zhang

This paper introduces a novel approach to information theory, leveraging quantum entanglement entropy as a fundamental measure of information. We propose that entanglement entropy can effectively quantify the efficiency of information transmission and provides a theoretical foundation that surpasses the limitations of classical information theory. The core of this work lies in the integration of entanglement entropy with Shannon entropy, establishing a new framework for analyzing information transfer. We explore scenarios where classical information theory struggles to adequately describe the limits of communication due to quantum mechanical effects, specifically entanglement. The paper aims to provide a theoretical underpinning for quantum communication protocols and potentially inform the development of quantum computation. We define key terms and formulate core concepts, focusing on the relationship between entanglement entropy, information content, and the constraints imposed by quantum mechanics. The central argument is that by considering the inherent interconnectedness of entangled systems, we can gain a deeper understanding of information processing at the most fundamental level. ---

•Sep 3, 2026•0 citations
This hypothesis explores the application of the McGinty Equation to fractal quantum entanglement and information theory, proposing that the entanglement entropy and information flow in quantum systems exhibit fractal properties. The primary objective is to understand how fractal geometry influences quantum entanglement, information transmission, and processing, offering new insights into quantum communication, computation, and the fundamental limits of information theory.
This hypothesis explores the application of the McGinty Equation to fractal quantum biology, proposing that biological systems, including molecular processes and cellular structures, exhibit fractal characteristics influenced by quantum effects. The primary objective is to understand how fractal geometry and quantum phenomena, such as coherence and tunneling, influence biological functions and processes, providing new insights into the fundamental mechanisms of life and the potential role of quantum mechanics in biological systems.
Abstract: Quantum information research predominantly utilizes discrete states, often relying on linear algebra and matrix representations. This paper explores the potential of fractal geometry as a foundational element, proposing that fractal patterns offer a novel approach to understanding and manipulating entanglement – a key challenge in quantum information processing. We investigate the relationship between fractal geometry and quantum entanglement, suggesting that self-similarity inherent in fractal structures could be leveraged to enhance quantum coherence and facilitate the observation of entanglement phenomena. This work contributes to a broader theoretical framework for investigating quantum information by proposing a unique connection between fractal geometry and the fundamental properties of quantum systems.
This paper investigates the potential of fractal geometry as a novel framework for representing and manipulating quantum entanglement. We propose a quantum algorithm predicated on self-similarity principles, aiming to enhance coherence and information transfer through a fractal-based encoding scheme. The core claim is that carefully designed fractal representations can mitigate noise and improve the robustness of quantum systems, thereby offering a fundamentally new approach to quantum information processing. The work details the algorithmic design, potential benefits, and challenges associated with this exploration, emphasizing the connection between fractal geometry and the fundamental properties of quantum entanglement.
This paper introduces a novel approach to information theory, leveraging quantum entanglement entropy as a fundamental measure of information. We propose that entanglement entropy can effectively quantify the efficiency of information transmission and provides a theoretical foundation that surpasses the limitations of classical information theory. The core of this work lies in the integration of entanglement entropy with Shannon entropy, establishing a new framework for analyzing information transfer. We explore scenarios where classical information theory struggles to adequately describe the limits of communication due to quantum mechanical effects, specifically entanglement. The paper aims to provide a theoretical underpinning for quantum communication protocols and potentially inform the development of quantum computation. We define key terms and formulate core concepts, focusing on the relationship between entanglement entropy, information content, and the constraints imposed by quantum mechanics. The central argument is that by considering the inherent interconnectedness of entangled systems, we can gain a deeper understanding of information processing at the most fundamental level. ---