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

Quantum Chaos Systems for Information Entropy Storage

Jincheng Zhang

Published Aug 28, 2026• 0 citations
Publisher

Abstract

This paper investigates the potential of quantum chaotic systems to store information entropy. We propose a framework leveraging the inherent complexity of chaotic states in quantum systems to facilitate information storage. The core concept involves mapping the dynamics of a quantum chaotic system to represent and preserve information, drawing parallels between the storage capacity of chaos and the concept of entropy. We explore theoretical formulations of this approach, focusing on the relationship between the system's parameters, the generated chaotic behavior, and the resulting information storage capacity. Our work aims to contribute to the burgeoning field of quantum information storage and potentially illuminate the fundamental connection between chaos and information processing. The methodology presented allows for a novel approach to information storage using quantum phenomena, offering a theoretical foundation for future research and development. The core claim is the utilization of quantum chaotic states to achieve information entropy storage, while the core mechanism involves combining the complexity of chaotic states with the storage capabilities of entropy. ---

DOI
10.5281/zenodo.22140456

Related papers

Quantum Information-Theoretic Chaos Theory

Jincheng Zhang

Quantum Information-Theoretic Chaos Theory explores the potential of quantum mechanics to fundamentally define and understand chaos, offering a novel approach to predicting and controlling its behavior. This paper proposes a formalization of chaos as a fundamental quantum phenomenon, leveraging quantum entanglement and decoherence to generate inherently chaotic patterns. We introduce a new set of rules governing these interactions, aiming to provide a mathematically rigorous framework for analyzing and manipulating chaotic systems. The core mechanism revolves around establishing a precise relationship between quantum states and chaotic dynamics, offering a potential pathway to enhanced predictive capabilities. This research addresses a long-standing challenge in quantum mechanics: the lack of a consistent mathematical description of chaos, presenting a bold new direction for theoretical investigation and practical application.

•Aug 29, 2026•0 citations

Chaos System Simulation based on Quantum Computing

Jincheng Zhang

This paper explores the potential of quantum computing for simulating chaotic systems. Traditional methods of chaotic system simulation are often limited by the precision and efficiency of classical computation. This research proposes leveraging the unique capabilities of quantum computing, specifically quantum chaos algorithms, to overcome these limitations. The core idea involves utilizing quantum superposition and interference to accurately model the dynamics of chaotic systems. We present a theoretical framework for this approach, outlining the key mathematical formulations and demonstrating how quantum mechanics can provide a more accurate and efficient simulation compared to classical methods. The paper focuses on the theoretical underpinnings and potential benefits, without presenting experimental results. We aim to establish a foundation for future research in this burgeoning field.

•Sep 3, 2026•0 citations

Quantum-Based Computation Utilizing Chaotic Quantum Systems

Jincheng Zhang

This paper explores a novel approach to computation leveraging the inherent complexity of quantum chaotic systems. The core concept involves harnessing the unpredictable dynamics of these systems for parallel processing and simulation, offering a potentially transformative paradigm for computation. We present a theoretical framework for constructing and utilizing such systems, emphasizing the connection between quantum chaos and classical chaos. The system's dynamics are governed by a set of coupled nonlinear differential equations, representing a modified logistic map. The key innovation lies in exploiting the sensitive dependence on initial conditions characteristic of chaotic systems to generate a multitude of independent calculations concurrently. This approach aims to overcome limitations associated with traditional parallel computing architectures and potentially unlock new computational capabilities. The theoretical framework is presented, and a simplified mathematical model is outlined to illustrate the fundamental principles. Further research will focus on developing practical implementations and exploring the potential applications of this quantum-based computation method. ---

•Aug 28, 2026•0 citations

Quantum Chaos Control

Jincheng Zhang

This paper explores the potential of quantum chaos control for advanced quantum computation and information processing. We propose a system leveraging the inherent properties of quantum chaos, specifically the extreme sensitivity to initial conditions, to achieve precise control and manipulation of quantum systems. The core mechanism involves inducing and managing quantum chaos within a system of qubits by carefully tuning their parameters. This approach aims to exploit the chaotic dynamics for quantum computation, offering a novel pathway beyond traditional quantum control methods. The theoretical framework presented outlines the design considerations and potential applications of this technique, focusing on harnessing the unique characteristics of chaotic quantum systems. This work establishes a foundation for future research into utilizing quantum chaos as a powerful tool in the development of more robust and versatile quantum computing architectures.

•Sep 5, 2026•0 citations

Information Theory and Quantum Chaos: A Novel Framework

Jincheng Zhang

This paper explores the intersection of information theory and quantum chaos, proposing a novel framework to understand the evolution and resonance of chaotic systems. We introduce a quantum chaos model based on information entropy, demonstrating how this approach can predict and potentially control the behavior of quantum systems. The core claim is that information plays a fundamental role in the emergence of chaos in quantum systems, and that analyzing information-theoretic properties can guide the design of robust quantum algorithms. This work moves beyond traditional chaos theory by incorporating information principles, offering a new perspective on the dynamics of quantum phenomena. We detail the model's mathematical foundation, explain the connection between information entropy and the emergence of chaos, and present preliminary results demonstrating the model's predictive capabilities. The paper concludes with a discussion of the implications for quantum computing and information processing.

•Sep 2, 2026•0 citations

Chaos Dynamics and Quantum Entanglement Control

Jincheng Zhang

This paper explores the potential for controlling chaotic dynamics within dynamical systems by leveraging the principles of quantum entanglement. The core claim is that the inherent complexity of chaotic systems can be precisely manipulated through the utilization of quantum entanglement. We propose a mechanism whereby entanglement is used to target and modify key parameters governing the chaotic behavior. The theoretical framework presented outlines a methodology for achieving this control, focusing on the intricate relationship between classical chaos and quantum correlations. This work offers a novel approach to chaos control, potentially leading to advancements in areas such as secure communication, precision sensing, and advanced control systems. The paper details the mathematical formulation, focusing on the manipulation of the system's Hamiltonian and the corresponding evolution equations. The central equation governing the system's dynamics is presented, alongside methods for quantifying the degree of entanglement and its impact on the system's trajectory. Finally, we discuss the challenges and future directions of this research area.

•Aug 31, 2026•0 citations
This paper investigates the potential of quantum chaotic systems to store information entropy. We propose a framework leveraging the inherent complexity of chaotic states in quantum systems to facilitate information storage. The core concept involves mapping the dynamics of a quantum chaotic system to represent and preserve information, drawing parallels between the storage capacity of chaos and the concept of entropy. We explore theoretical formulations of this approach, focusing on the relationship between the system's parameters, the generated chaotic behavior, and the resulting information storage capacity. Our work aims to contribute to the burgeoning field of quantum information storage and potentially illuminate the fundamental connection between chaos and information processing. The methodology presented allows for a novel approach to information storage using quantum phenomena, offering a theoretical foundation for future research and development. The core claim is the utilization of quantum chaotic states to achieve information entropy storage, while the core mechanism involves combining the complexity of chaotic states with the storage capabilities of entropy. ---
Quantum Information-Theoretic Chaos Theory explores the potential of quantum mechanics to fundamentally define and understand chaos, offering a novel approach to predicting and controlling its behavior. This paper proposes a formalization of chaos as a fundamental quantum phenomenon, leveraging quantum entanglement and decoherence to generate inherently chaotic patterns. We introduce a new set of rules governing these interactions, aiming to provide a mathematically rigorous framework for analyzing and manipulating chaotic systems. The core mechanism revolves around establishing a precise relationship between quantum states and chaotic dynamics, offering a potential pathway to enhanced predictive capabilities. This research addresses a long-standing challenge in quantum mechanics: the lack of a consistent mathematical description of chaos, presenting a bold new direction for theoretical investigation and practical application.
This paper explores the potential of quantum computing for simulating chaotic systems. Traditional methods of chaotic system simulation are often limited by the precision and efficiency of classical computation. This research proposes leveraging the unique capabilities of quantum computing, specifically quantum chaos algorithms, to overcome these limitations. The core idea involves utilizing quantum superposition and interference to accurately model the dynamics of chaotic systems. We present a theoretical framework for this approach, outlining the key mathematical formulations and demonstrating how quantum mechanics can provide a more accurate and efficient simulation compared to classical methods. The paper focuses on the theoretical underpinnings and potential benefits, without presenting experimental results. We aim to establish a foundation for future research in this burgeoning field.
This paper explores a novel approach to computation leveraging the inherent complexity of quantum chaotic systems. The core concept involves harnessing the unpredictable dynamics of these systems for parallel processing and simulation, offering a potentially transformative paradigm for computation. We present a theoretical framework for constructing and utilizing such systems, emphasizing the connection between quantum chaos and classical chaos. The system's dynamics are governed by a set of coupled nonlinear differential equations, representing a modified logistic map. The key innovation lies in exploiting the sensitive dependence on initial conditions characteristic of chaotic systems to generate a multitude of independent calculations concurrently. This approach aims to overcome limitations associated with traditional parallel computing architectures and potentially unlock new computational capabilities. The theoretical framework is presented, and a simplified mathematical model is outlined to illustrate the fundamental principles. Further research will focus on developing practical implementations and exploring the potential applications of this quantum-based computation method. ---
This paper explores the potential of quantum chaos control for advanced quantum computation and information processing. We propose a system leveraging the inherent properties of quantum chaos, specifically the extreme sensitivity to initial conditions, to achieve precise control and manipulation of quantum systems. The core mechanism involves inducing and managing quantum chaos within a system of qubits by carefully tuning their parameters. This approach aims to exploit the chaotic dynamics for quantum computation, offering a novel pathway beyond traditional quantum control methods. The theoretical framework presented outlines the design considerations and potential applications of this technique, focusing on harnessing the unique characteristics of chaotic quantum systems. This work establishes a foundation for future research into utilizing quantum chaos as a powerful tool in the development of more robust and versatile quantum computing architectures.
This paper explores the intersection of information theory and quantum chaos, proposing a novel framework to understand the evolution and resonance of chaotic systems. We introduce a quantum chaos model based on information entropy, demonstrating how this approach can predict and potentially control the behavior of quantum systems. The core claim is that information plays a fundamental role in the emergence of chaos in quantum systems, and that analyzing information-theoretic properties can guide the design of robust quantum algorithms. This work moves beyond traditional chaos theory by incorporating information principles, offering a new perspective on the dynamics of quantum phenomena. We detail the model's mathematical foundation, explain the connection between information entropy and the emergence of chaos, and present preliminary results demonstrating the model's predictive capabilities. The paper concludes with a discussion of the implications for quantum computing and information processing.
This paper explores the potential for controlling chaotic dynamics within dynamical systems by leveraging the principles of quantum entanglement. The core claim is that the inherent complexity of chaotic systems can be precisely manipulated through the utilization of quantum entanglement. We propose a mechanism whereby entanglement is used to target and modify key parameters governing the chaotic behavior. The theoretical framework presented outlines a methodology for achieving this control, focusing on the intricate relationship between classical chaos and quantum correlations. This work offers a novel approach to chaos control, potentially leading to advancements in areas such as secure communication, precision sensing, and advanced control systems. The paper details the mathematical formulation, focusing on the manipulation of the system's Hamiltonian and the corresponding evolution equations. The central equation governing the system's dynamics is presented, alongside methods for quantifying the degree of entanglement and its impact on the system's trajectory. Finally, we discuss the challenges and future directions of this research area.