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

Expanded Information Theory of Quantum Systems

Jincheng Zhang

Published Aug 29, 2026• 0 citations
Publisher

Abstract

This paper explores a novel extension of information theory, focusing on the concept of "information content" as a dynamic system-level property rather than simply a probabilistic outcome. We propose a framework that leverages quantum entanglement to encode and transmit information, moving beyond classical probability-based approaches. This theory emphasizes the crucial role of quantum state structure and interaction in defining and quantifying information. The core mechanism centers on a shift from probability description to an information-driven description, introducing the concept of "information resonance" within quantum states. This expansion addresses a fundamental limitation of existing quantum information theory by providing a more holistic and physically meaningful perspective on information encoding and transmission, potentially offering new avenues for quantum technologies.

DOI
10.5281/zenodo.22154246

Related papers

Probability Information Theory of Quantum Entanglement Simulation - Based on Quantum Entanglement Dynamics

Jincheng Zhang

This paper explores the application of probability information theory to simulate complex quantum systems, specifically leveraging the dynamic nature of quantum entanglement. We propose a novel framework for quantum system simulation, utilizing a probabilistic distribution driven by quantum entanglement to model evolving quantum states. The core claim is that this model, when implemented, can approximate the fundamental principles underlying quantum consciousness. The mechanism involves introducing a dynamic probability distribution derived from entanglement, allowing for the simulation of complex systems exhibiting phenomena previously inaccessible through traditional probability information theory. This work addresses the limitations of existing methods and opens avenues for quantum computing research, potentially towards simulating quantum systems with enhanced fidelity and adaptability.

•Sep 3, 2026•0 citations

Quantum Entanglement Information Theory Framework

Jincheng Zhang

This paper explores a novel quantum entanglement information theory framework centered around the concept of entangled quantum states as a fundamental information carrier. We propose a system where the measurement of entangled states directly encodes and transmits information, leveraging the inherent correlations within these states. The framework introduces new quantum computation and communication protocols, focusing on enhanced entanglement fidelity and secure communication through error correction and quantum communication. This research investigates the practical implications of this design, emphasizing the potential for transformative advancements in quantum technologies.

•Aug 29, 2026•0 citations

Quantum Entanglement-Based Information Encoding and Decoding

Jincheng Zhang

This paper proposes a novel information encoding and decoding scheme leveraging the unique properties of quantum entanglement. The core concept involves utilizing multi-particle entangled states for superposition-based encoding and subsequent information recovery through measurement outcomes. Furthermore, the scheme incorporates entanglement-assisted eavesdropping detection and error correction mechanisms. The theoretical analysis demonstrates the potential to surpass the classical channel capacity limit, fundamentally altering the landscape of information transmission. The proposed approach explores the physical boundaries of information transfer, offering a new pathway for quantum communication protocols. The key mathematical elements underpinning the system are presented, including the quantum state description, measurement operators, and the relevant equations governing the process. The system's performance is evaluated through theoretical modeling, highlighting its advantages in terms of information rate and security.

•Sep 3, 2026•0 citations

Quantum Entanglement Probability Theory Extension

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, presents a profound challenge to classical probability theory. This paper explores the potential of leveraging entanglement to extend probability theory, offering a novel framework for modeling complex systems and facilitating a more precise probabilistic computation. We propose a new approach that utilizes the inherent correlations within entangled states to provide a fundamentally different perspective on probability, potentially offering advantages over traditional methods in scenarios requiring high accuracy and efficient computation. We present a mathematical model and discuss the implications for probabilistic reasoning, emphasizing the crucial role of entanglement in shaping the observed outcomes of quantum systems.

•Aug 31, 2026•0 citations

Information-Theoretic Characterization of Non-Classical Entanglement Entropy

Jincheng Zhang

This paper introduces a novel entropy concept – non-classical entanglement entropy – designed to quantify the complexity and information content of quantum entanglement states. Moving beyond the limitations of classical information theory's entropy definitions, this new metric is fundamentally rooted in the mathematical structure of entangled quantum states. We propose a specific entropy formula that precisely describes the information inherent within entangled systems. The core contribution lies in expanding the scope of information theory, providing a more accurate and nuanced measure for assessing and manipulating quantum information, particularly in the context of quantum information processing. This work aims to establish a foundational framework for understanding and utilizing entanglement as a resource in quantum technologies. ---

•Aug 31, 2026•0 citations

Quantum Entanglement Probability Expansion

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, presents a profoundly perplexing phenomenon. Its implications extend far beyond basic quantum theory, offering the potential for revolutionary advancements in computation and communication. This paper explores a novel theoretical framework, the Quantum Entanglement Probability Expansion (QEP), designed to significantly deepen our understanding of the relationship between probability, system complexity, and the efficiency of quantum information processing. We propose a modified probabilistic model that explicitly incorporates the entanglement properties of quantum systems, allowing for a more precise and computationally efficient approach to quantum information handling. The core mechanism centers around extending the probability distribution of quantum states to encompass the entire system, enabling a holistic assessment of information processing dynamics. This paper details the QEP's mathematical foundations, its potential applications within quantum information theory, and preliminary results demonstrating increased efficiency compared to conventional approaches. The implications of this research extend beyond mere theoretical advancements, potentially paving the way for practical quantum algorithms and enhanced quantum communication protocols.

•Aug 31, 2026•0 citations
This paper explores a novel extension of information theory, focusing on the concept of "information content" as a dynamic system-level property rather than simply a probabilistic outcome. We propose a framework that leverages quantum entanglement to encode and transmit information, moving beyond classical probability-based approaches. This theory emphasizes the crucial role of quantum state structure and interaction in defining and quantifying information. The core mechanism centers on a shift from probability description to an information-driven description, introducing the concept of "information resonance" within quantum states. This expansion addresses a fundamental limitation of existing quantum information theory by providing a more holistic and physically meaningful perspective on information encoding and transmission, potentially offering new avenues for quantum technologies.
This paper explores the application of probability information theory to simulate complex quantum systems, specifically leveraging the dynamic nature of quantum entanglement. We propose a novel framework for quantum system simulation, utilizing a probabilistic distribution driven by quantum entanglement to model evolving quantum states. The core claim is that this model, when implemented, can approximate the fundamental principles underlying quantum consciousness. The mechanism involves introducing a dynamic probability distribution derived from entanglement, allowing for the simulation of complex systems exhibiting phenomena previously inaccessible through traditional probability information theory. This work addresses the limitations of existing methods and opens avenues for quantum computing research, potentially towards simulating quantum systems with enhanced fidelity and adaptability.
This paper explores a novel quantum entanglement information theory framework centered around the concept of entangled quantum states as a fundamental information carrier. We propose a system where the measurement of entangled states directly encodes and transmits information, leveraging the inherent correlations within these states. The framework introduces new quantum computation and communication protocols, focusing on enhanced entanglement fidelity and secure communication through error correction and quantum communication. This research investigates the practical implications of this design, emphasizing the potential for transformative advancements in quantum technologies.
This paper proposes a novel information encoding and decoding scheme leveraging the unique properties of quantum entanglement. The core concept involves utilizing multi-particle entangled states for superposition-based encoding and subsequent information recovery through measurement outcomes. Furthermore, the scheme incorporates entanglement-assisted eavesdropping detection and error correction mechanisms. The theoretical analysis demonstrates the potential to surpass the classical channel capacity limit, fundamentally altering the landscape of information transmission. The proposed approach explores the physical boundaries of information transfer, offering a new pathway for quantum communication protocols. The key mathematical elements underpinning the system are presented, including the quantum state description, measurement operators, and the relevant equations governing the process. The system's performance is evaluated through theoretical modeling, highlighting its advantages in terms of information rate and security.
Quantum entanglement, a cornerstone of quantum mechanics, presents a profound challenge to classical probability theory. This paper explores the potential of leveraging entanglement to extend probability theory, offering a novel framework for modeling complex systems and facilitating a more precise probabilistic computation. We propose a new approach that utilizes the inherent correlations within entangled states to provide a fundamentally different perspective on probability, potentially offering advantages over traditional methods in scenarios requiring high accuracy and efficient computation. We present a mathematical model and discuss the implications for probabilistic reasoning, emphasizing the crucial role of entanglement in shaping the observed outcomes of quantum systems.
This paper introduces a novel entropy concept – non-classical entanglement entropy – designed to quantify the complexity and information content of quantum entanglement states. Moving beyond the limitations of classical information theory's entropy definitions, this new metric is fundamentally rooted in the mathematical structure of entangled quantum states. We propose a specific entropy formula that precisely describes the information inherent within entangled systems. The core contribution lies in expanding the scope of information theory, providing a more accurate and nuanced measure for assessing and manipulating quantum information, particularly in the context of quantum information processing. This work aims to establish a foundational framework for understanding and utilizing entanglement as a resource in quantum technologies. ---
Quantum entanglement, a cornerstone of quantum mechanics, presents a profoundly perplexing phenomenon. Its implications extend far beyond basic quantum theory, offering the potential for revolutionary advancements in computation and communication. This paper explores a novel theoretical framework, the Quantum Entanglement Probability Expansion (QEP), designed to significantly deepen our understanding of the relationship between probability, system complexity, and the efficiency of quantum information processing. We propose a modified probabilistic model that explicitly incorporates the entanglement properties of quantum systems, allowing for a more precise and computationally efficient approach to quantum information handling. The core mechanism centers around extending the probability distribution of quantum states to encompass the entire system, enabling a holistic assessment of information processing dynamics. This paper details the QEP's mathematical foundations, its potential applications within quantum information theory, and preliminary results demonstrating increased efficiency compared to conventional approaches. The implications of this research extend beyond mere theoretical advancements, potentially paving the way for practical quantum algorithms and enhanced quantum communication protocols.