基于量子纠缠的分布式计算加速器

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper explores the potential of utilizing quantum entanglement for accelerating distributed computing tasks. The core claim is that leveraging entanglement allows for superluminal information transfer and collaborative computation between geographically separated nodes, leading to significant speedups in complex calculations. The proposed mechanism involves constructing a network of entangled qubits, facilitating information exchange and computation synchronization through entangled states. We employ quantum superposition and interference principles to expedite the computational process. This research represents a novel approach to distributed computing, moving beyond the limitations of classical communication by incorporating the unique properties of quantum entanglement. The theoretical framework presented outlines a pathway towards fundamentally faster distributed computations, though practical implementation challenges remain a key area for future investigation. The efficiency of this architecture is predicated on minimizing decoherence and maintaining entanglement fidelity across the distributed network. ---

DOI: 10.5281/zenodo.22139472

Related papers

Quantum Entanglement-Driven Distributed Computing Acceleration

Jincheng Zhang

This paper proposes a novel approach to accelerating distributed computing by leveraging the unique properties of quantum entanglement. The core idea is to utilize entanglement-based communication for rapid information transfer between distant computing nodes, thereby significantly reducing latency and potentially achieving substantial speedups compared to conventional distributed computing paradigms. We outline a framework for constructing a quantum entanglement network, detailing the process of task decomposition and collaborative computation facilitated by entangled states. The theoretical foundation of this approach rests on the non-local nature of entanglement, offering a fundamentally different method for distributed computation. We present a mathematical model to illustrate the potential performance gains, focusing on key metrics such as communication overhead and computational speedup. This work lays the groundwork for future research into building practical quantum distributed computing systems.

Sep 5, 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 for Distributed Multi-Task Parallel Computing

Jincheng Zhang

This paper proposes a novel approach to distributed multi-task parallel computing leveraging the unique properties of quantum entanglement. The core claim is that by exploiting the non-local nature of entanglement, we can achieve instantaneous information transfer between distributed computation nodes, effectively bypassing the limitations of light speed and overcoming the bottlenecks inherent in traditional parallel computing architectures. This paradigm shift relies on constructing a distributed network composed of entangled qubits, where each node performs localized calculations and collaboratively operates through entangled connections. The implementation incorporates entanglement-based encoding schemes and quantum error correction techniques to enhance computational accuracy and resilience. This research represents a fundamental departure from conventional communication-dependent parallel computing, offering the potential for truly parallel computation and exceeding the constraints imposed by bandwidth and latency limitations. The theoretical framework and key components of this system are presented, outlining a pathway towards significantly accelerating complex computational tasks. ---

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 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

Quantum Entanglement-Driven Distributed Computing Optimization

Jincheng Zhang

This paper proposes a novel approach to distributed computing optimization leveraging the principles of quantum entanglement. The core claim is that entanglement can facilitate instantaneous information transfer and coordinated optimization across distributed computing nodes, drastically improving the efficiency of complex computations. The proposed mechanism involves a distributed computing architecture where each node incorporates a quantum processor, utilizing entangled states for communication to enable parallel execution of global optimization algorithms and synchronized results. This approach aims to overcome the limitations imposed by classical communication bottlenecks, capitalizing on the unique properties of quantum mechanics to achieve significant computational gains. We explore the theoretical framework, outlining the key mathematical models and algorithms involved in this entanglement-driven distributed computing system. The system is designed to address challenges inherent in traditional distributed algorithms, offering a potential pathway toward truly scalable and efficient computation. The presented model focuses on the core principles and provides a foundation for future research and development within this emerging field.

Aug 31, 20260 citations