Quantum Entanglement-Based Distributed Computation (QEB)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper proposes a novel distributed computation architecture, Quantum Entanglement-Based Distributed Computation (QEB), leveraging quantum entanglement as the foundational mechanism for information transfer and computation. Traditional distributed computing systems are constrained by the limitations of classical communication, resulting in bottlenecks and reduced scalability. QEB overcomes these challenges by directly utilizing the inherent parallelism and resilience of quantum entanglement. The architecture decomposes computational tasks into a series of entangled sub-tasks, orchestrated across a network of quantum nodes. Synchronization and execution of these sub-tasks occur through controlled manipulation of the entangled states, eliminating the need for classical data transmission. Furthermore, the architecture incorporates fault tolerance through the dynamic reconstruction of entangled states, providing robustness against node failures. This approach promises significant advancements in computational performance and reliability, representing a paradigm shift in the field of distributed computing. The core claim of QEB is to build a highly parallel and fault-tolerant architecture by exploiting quantum entanglement as the primary communication channel. ---

DOI: 10.5281/zenodo.22186563

Related papers

Quantum Computation via Entanglement Distributing

Jincheng Zhang

This paper explores a novel approach to distributed computing leveraging the principles of quantum entanglement. The core claim is that entanglement can be utilized to achieve parallel execution of distributed computing tasks, effectively mitigating the communication bottlenecks inherent in traditional distributed systems. The proposed mechanism involves decomposing complex computational tasks into smaller, manageable sub-tasks, assigning these sub-tasks to distinct quantum processors, and employing entanglement to synchronize intermediate results. This approach aims to exploit the inherent parallelism of quantum mechanics to achieve computational speedups unattainable through classical communication alone. The paper details the theoretical framework, outlining the key components and considerations for implementing such a system, focusing on the challenges and potential benefits of utilizing entangled quantum states for distributed computation. We present a conceptual model, highlighting the potential for overcoming limitations in bandwidth-constrained networks and demonstrating a pathway towards scalable quantum distributed computing architectures. The primary goal is to demonstrate the feasibility of utilizing quantum entanglement as a fundamental building block for a new paradigm in distributed computation. ---

Aug 29, 20260 citations

Based on Quantum Entanglement: A Distributed Computing Architecture

Jincheng Zhang

This paper proposes a novel distributed computing architecture leveraging the principles of quantum entanglement for enhanced parallel computation. Traditional distributed computing relies heavily on classical communication, which introduces latency and bandwidth limitations. This architecture aims to overcome these challenges by exploiting the inherent correlations within entangled quantum states. We introduce a framework where multiple computational nodes are interconnected via entangled qubits, forming a quantum entanglement network. This network facilitates direct, correlated computation between nodes, theoretically enabling a significant speedup compared to conventional parallel processing. The core claim of this work is the realization of ultra-efficient parallel computation through entanglement-based distributed computing. The presented model details the architecture, the entanglement management strategy, and the theoretical computational advantages. We focus on the conceptual design and the underlying mathematical framework, providing a foundation for future research and development in this area. The key mathematical concept driving this architecture is the manipulation of entangled states to perform computations without the need for direct data transfer between nodes. This approach presents a fundamentally different paradigm for distributed computing, with the potential to revolutionize fields reliant on computationally intensive tasks.

Aug 29, 20260 citations

Quantum Entanglement-Driven Distributed Computing Architecture

Jincheng Zhang

This paper proposes a novel distributed computing architecture driven by quantum entanglement, aiming to overcome the limitations of traditional distributed computing methods. The core concept involves leveraging quantum entanglement for direct information transfer between computing nodes, eliminating the latency inherent in classical communication networks. This architecture utilizes a constructed quantum entanglement network to decompose computational tasks and accelerate processing through instantaneous node-to-node information exchange. The theoretical framework presented here outlines the key components and operational principles of this system, focusing on the potential to enable massively parallel computing and achieve significant speedups for complex calculations. The design prioritizes robust entanglement distribution and efficient task allocation, addressing key challenges in realizing this paradigm. The architecture's success hinges on the reliable generation and maintenance of entanglement across a distributed network, a critical factor for achieving the desired computational performance. Further research will focus on practical implementations and exploring the scalability of this approach.

Aug 29, 20260 citations

Based on Quantum Entanglement: Distributed Reasoning

Jincheng Zhang

This paper explores the potential of quantum entanglement for enabling distributed reasoning paradigms that transcend the limitations of classical physics. The core claim is that leveraging entanglement allows for parallel and fault-tolerant computation, offering a fundamentally new approach to distributed systems. The proposed mechanism involves encoding information into entangled particles and utilizing the correlations between their entangled states for information processing. This approach inherently facilitates simultaneous computation across multiple nodes and provides intrinsic resilience against node failures. We outline a framework for distributed reasoning based on this principle, highlighting its advantages over traditional distributed systems and addressing key challenges in scalability and practical implementation. The research investigates the theoretical foundations of entanglement-based distributed reasoning and proposes a novel architecture for achieving high-performance, robust computations. This work represents a significant step towards realizing quantum-enhanced distributed computing capabilities.

Sep 6, 20260 citations

Quantum Entanglement-Based Distributed Computing Architecture

Jincheng Zhang

This paper proposes a novel distributed computing architecture predicated on the precise control of quantum entanglement. The core claim is that by leveraging entanglement, it is possible to design a computing paradigm that surpasses the limitations of classical parallel computing. The proposed architecture utilizes entangled states to connect multiple quantum processors, enabling instantaneous state transfer and information sharing. This approach involves the development of new entanglement generation and control algorithms, optimized to manipulate quantum superposition and interference, thereby enhancing computational efficiency. The key innovation lies in moving beyond the bottleneck of classical communication inherent in traditional distributed systems. This architecture promises a fundamentally different approach to parallel computation, exploiting the unique properties of quantum mechanics. The presented framework offers a potential pathway towards scalable and highly efficient quantum computation, though significant technological challenges remain. The theoretical framework outlines the key components and operational principles of this new architecture.

Aug 31, 20260 citations

Quantum Entanglement Topological Computation

Jincheng Zhang

This paper proposes a novel approach to quantum computation leveraging the topological properties of quantum entanglement. The core claim is to construct a highly fault-tolerant distributed computing architecture by harnessing these topological features, thereby mitigating the decoherence challenges prevalent in traditional quantum computing. The proposed mechanism involves encoding quantum information into physically interconnected quantum nodes via entangled networks. This topological protection inherently provides redundancy for quantum information storage and facilitates error correction. Furthermore, the architecture utilizes the inherent topology of the nodes for parallel computation. The resulting system offers a fundamentally different paradigm for quantum computing, promising scalability and robustness. The theoretical framework presented outlines the key components and operational principles, focusing on the manipulation and utilization of entangled states within a topological framework. The primary goal is to demonstrate a pathway towards building practical, resilient quantum computers capable of tackling complex computational problems. This work establishes a foundational model for future research in entanglement-based topological quantum computation.

Sep 2, 20260 citations