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

基于量子纠缠的逻辑逻辑计算范式

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

This paper explores a novel computational framework based on quantum entanglement, aiming to revolutionize logical reasoning and computation. Traditional logical computation relies on classical logic gates, but this research leverages the unique properties of quantum entanglement to establish a fundamentally different approach. We propose a system that utilizes entangled states to perform quantum logic operations, offering a potential paradigm shift for quantum computing. The core mechanism involves designing a quantum logic algorithm predicated on entanglement, exploring its implications for the advancement of quantum computation. The paper presents a conceptual outline, detailing the design process and potential applications. We argue that this approach presents a significant advancement in computational modeling, potentially unlocking new capabilities within the field of quantum information processing.

DOI
10.5281/zenodo.22323162

Related papers

Quantum Entanglement and Non-Standard Logic Computation

Jincheng Zhang

Quantum entanglement, a bizarre yet fundamental phenomenon in quantum mechanics, holds significant potential for revolutionizing computation. This paper explores the utilization of quantum entanglement as a cornerstone for a novel logic computation model, aiming to leverage its unique properties for advanced calculation and data processing. We propose a framework centered around the design of a quantum entanglement-based logic system, emphasizing parallel processing and information transfer capabilities. The core claim posits that this model offers a fundamentally different approach to computation compared to traditional methods, potentially unlocking new computational paradigms. The paper details the core mechanism, outlining the design of a quantum entanglement-driven logic system, and provides a preliminary investigation into potential algorithms and their impact. We conclude with a discussion of the implications and future research directions for this nascent field.

•Sep 5, 2026•0 citations

Quantum Entanglement as a Logical Computation Model

Jincheng Zhang

Quantum entanglement, a perplexing phenomenon where two or more particles become linked in such a way that they share the same fate, presents a tantalizing prospect for advanced computation. This paper explores the potential of utilizing quantum entanglement to construct a logical computation model, leveraging its unique properties for parallel processing and complex operations. We propose a novel quantum algorithm predicated on this model, aiming to revolutionize traditional computational approaches. The core of this work lies in a detailed architectural design of the entanglement-based logic engine, outlining the fundamental operations and potential applications. The study critically examines the theoretical implications of this approach, focusing on the advantages over existing quantum computing paradigms. We propose a new approach to quantum algorithm development based on entanglement as the foundation.

•Sep 7, 2026•0 citations

Core Claim: Design a probabilistic logic system based on quantum entanglement, utilizing entangled states to represent logical relationships and achieve enhanced logical reasoning and computational capabilities.

Jincheng Zhang

The study presents a novel probabilistic logic system predicated on the principles of quantum entanglement. This system leverages the inherent properties of entangled quantum states to represent logical relationships, offering a paradigm shift compared to conventional probabilistic logic. The core mechanism involves establishing and manipulating entangled states to encode and manipulate logical constraints, thereby enabling sophisticated reasoning and computational operations. This research explores the potential of quantum entanglement to surpass the limitations of classical logic in terms of expressiveness and speed, paving the way for new algorithmic possibilities. The paper details the design of an entanglement-based logic module, explores the challenges of maintaining entanglement fidelity, and discusses the implications for future development of quantum-enhanced computational systems.

•Aug 29, 2026•0 citations

Quantum Entanglement-Based Logical Computation

Jincheng Zhang

Quantum entanglement, a bizarre phenomenon where two or more particles become linked regardless of the distance separating them, holds immense potential for revolutionizing computation. This paper explores the possibility of utilizing quantum entanglement to create a novel logical computation framework, leveraging the unique properties of entangled states to enhance computational efficiency. We propose a new conceptual model for logical operations based on entangled qubits, aiming to surpass the limitations of classical logic in handling complex computations. The core of this work focuses on the design of a quantum logic system that employs entanglement to facilitate a deeper level of logical reasoning than currently achievable with conventional methods. This investigation presents a preliminary framework, highlighting the potential for significant advancements in computational power through the integration of quantum entanglement.

•Sep 3, 2026•0 citations

基于非对称矩阵运算的自适应量子计算框架

Jincheng Zhang

This paper introduces a novel quantum computing framework based on asymmetric matrix operations, leveraging quantum entanglement to accelerate computation. Traditional quantum computing relies on classical computation, while this framework introduces a unique approach that utilizes the inherent properties of asymmetric matrix operations and quantum entanglement for enhanced efficiency and stability. The core mechanism involves strategically introducing entanglement within matrix operations to dramatically improve computational speed. This work addresses the limitations of existing quantum algorithms by offering a fundamentally different approach to processing information, potentially unlocking new capabilities in complex calculations. The framework demonstrates significant improvements in specific quantum algorithms through the application of these novel techniques. This research explores the potential for significant advancements in quantum computation by introducing a new paradigm centered around asymmetric matrix operations and entanglement.

•Sep 4, 2026•0 citations

Quantum Entanglement Parameterization

Jincheng Zhang

Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a unique and potentially transformative paradigm for computation. This paper explores the development of a novel computational paradigm centered around quantum entanglement, aiming to leverage its properties for advanced information processing and, ultimately, offer a significant advantage over classical computing. We propose a specific calculation mechanism predicated on entangled states, designed to circumvent the inherent limitations of traditional algorithms. This work details the core conceptual framework, mechanism, and potential implications of this quantum-enhanced computation approach. The study centers on the potential for non-classical operations facilitated by entangled states, offering a pathway toward novel computational capabilities.

•Aug 31, 2026•0 citations
This paper explores a novel computational framework based on quantum entanglement, aiming to revolutionize logical reasoning and computation. Traditional logical computation relies on classical logic gates, but this research leverages the unique properties of quantum entanglement to establish a fundamentally different approach. We propose a system that utilizes entangled states to perform quantum logic operations, offering a potential paradigm shift for quantum computing. The core mechanism involves designing a quantum logic algorithm predicated on entanglement, exploring its implications for the advancement of quantum computation. The paper presents a conceptual outline, detailing the design process and potential applications. We argue that this approach presents a significant advancement in computational modeling, potentially unlocking new capabilities within the field of quantum information processing.
Quantum entanglement, a bizarre yet fundamental phenomenon in quantum mechanics, holds significant potential for revolutionizing computation. This paper explores the utilization of quantum entanglement as a cornerstone for a novel logic computation model, aiming to leverage its unique properties for advanced calculation and data processing. We propose a framework centered around the design of a quantum entanglement-based logic system, emphasizing parallel processing and information transfer capabilities. The core claim posits that this model offers a fundamentally different approach to computation compared to traditional methods, potentially unlocking new computational paradigms. The paper details the core mechanism, outlining the design of a quantum entanglement-driven logic system, and provides a preliminary investigation into potential algorithms and their impact. We conclude with a discussion of the implications and future research directions for this nascent field.
Quantum entanglement, a perplexing phenomenon where two or more particles become linked in such a way that they share the same fate, presents a tantalizing prospect for advanced computation. This paper explores the potential of utilizing quantum entanglement to construct a logical computation model, leveraging its unique properties for parallel processing and complex operations. We propose a novel quantum algorithm predicated on this model, aiming to revolutionize traditional computational approaches. The core of this work lies in a detailed architectural design of the entanglement-based logic engine, outlining the fundamental operations and potential applications. The study critically examines the theoretical implications of this approach, focusing on the advantages over existing quantum computing paradigms. We propose a new approach to quantum algorithm development based on entanglement as the foundation.
The study presents a novel probabilistic logic system predicated on the principles of quantum entanglement. This system leverages the inherent properties of entangled quantum states to represent logical relationships, offering a paradigm shift compared to conventional probabilistic logic. The core mechanism involves establishing and manipulating entangled states to encode and manipulate logical constraints, thereby enabling sophisticated reasoning and computational operations. This research explores the potential of quantum entanglement to surpass the limitations of classical logic in terms of expressiveness and speed, paving the way for new algorithmic possibilities. The paper details the design of an entanglement-based logic module, explores the challenges of maintaining entanglement fidelity, and discusses the implications for future development of quantum-enhanced computational systems.
Quantum entanglement, a bizarre phenomenon where two or more particles become linked regardless of the distance separating them, holds immense potential for revolutionizing computation. This paper explores the possibility of utilizing quantum entanglement to create a novel logical computation framework, leveraging the unique properties of entangled states to enhance computational efficiency. We propose a new conceptual model for logical operations based on entangled qubits, aiming to surpass the limitations of classical logic in handling complex computations. The core of this work focuses on the design of a quantum logic system that employs entanglement to facilitate a deeper level of logical reasoning than currently achievable with conventional methods. This investigation presents a preliminary framework, highlighting the potential for significant advancements in computational power through the integration of quantum entanglement.
This paper introduces a novel quantum computing framework based on asymmetric matrix operations, leveraging quantum entanglement to accelerate computation. Traditional quantum computing relies on classical computation, while this framework introduces a unique approach that utilizes the inherent properties of asymmetric matrix operations and quantum entanglement for enhanced efficiency and stability. The core mechanism involves strategically introducing entanglement within matrix operations to dramatically improve computational speed. This work addresses the limitations of existing quantum algorithms by offering a fundamentally different approach to processing information, potentially unlocking new capabilities in complex calculations. The framework demonstrates significant improvements in specific quantum algorithms through the application of these novel techniques. This research explores the potential for significant advancements in quantum computation by introducing a new paradigm centered around asymmetric matrix operations and entanglement.
Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a unique and potentially transformative paradigm for computation. This paper explores the development of a novel computational paradigm centered around quantum entanglement, aiming to leverage its properties for advanced information processing and, ultimately, offer a significant advantage over classical computing. We propose a specific calculation mechanism predicated on entangled states, designed to circumvent the inherent limitations of traditional algorithms. This work details the core conceptual framework, mechanism, and potential implications of this quantum-enhanced computation approach. The study centers on the potential for non-classical operations facilitated by entangled states, offering a pathway toward novel computational capabilities.