Quantum Entanglement-Driven Distributed Memory Storage (QED-DMS)

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel distributed memory storage system, termed Quantum Entanglement-Driven Distributed Memory Storage (QED-DMS), which leverages quantum entanglement to achieve unprecedented storage capacity and fidelity. The core concept involves creating multiple entangled qubit collections and strategically manipulating these collections to encode and store information across distributed nodes. Unlike classical distributed storage systems reliant on bandwidth-limited information transfer, QED-DMS exploits the non-local nature of quantum entanglement to overcome physical constraints, offering significantly higher storage density and data access rates. The system's architecture allows for efficient information retrieval and updates via entanglement-mediated communication. We present a theoretical framework outlining the system's operation, focusing on the key aspects of entanglement distribution, state manipulation, and information encoding. The theoretical analysis demonstrates the potential for QED-DMS to surpass the limitations of conventional storage technologies. The system's performance is characterized by high storage fidelity and robust data access, driven by the inherent properties of quantum entanglement. Further research and development are required to realize the full potential of QED-DMS, potentially through advancements in quantum memory technology and entanglement generation techniques. ---

DOI: 10.5281/zenodo.22339836

Related papers

Quantum Entanglement-Based Distributed Memory (QEDM)

Jincheng Zhang

This paper proposes a novel distributed memory architecture, termed Quantum Entanglement-Based Distributed Memory (QEDM), leveraging the principles of quantum entanglement for unprecedented data storage capacity and transmission rates. The core concept involves encoding data within entangled quantum states distributed across a network of quantum processors (nodes). This allows for instantaneous data transfer and synchronization between nodes, circumventing the limitations imposed by classical communication channels. We present a theoretical framework outlining the architecture, data encoding methods, and the underlying mechanisms driving QEDM's potential advantages. The key innovation lies in utilizing entanglement as a fundamentally new storage medium, offering significant improvements over conventional distributed memory systems. We explore the mathematical foundations of the system, focusing on the entanglement distribution, state manipulation, and data retrieval processes. The presented model highlights the challenges and opportunities associated with realizing a practical QEDM system, emphasizing the need for advanced quantum control and networking technologies. The theoretical analysis demonstrates the potential for achieving exponential increases in storage density and bandwidth, fundamentally altering the landscape of data storage and communication. ---

Sep 6, 20260 citations

Quantum Entanglement Encoding for Distributed Memory

Jincheng Zhang

This paper proposes a novel approach to distributed memory systems leveraging quantum entanglement. We demonstrate how encoding information into entangled states of multiple qubits can enable long-range, high-capacity, and low-latency data storage and retrieval. The core mechanism involves exploiting the inherent correlations within entangled states for distributed storage and access. Furthermore, we introduce quantum error correction techniques to enhance the reliability of the system. This approach contrasts with traditional distributed memory systems reliant on classical communication, offering potential advantages in terms of bandwidth efficiency and data transfer speeds. The theoretical framework presented outlines the key components and considerations for realizing this quantum-based distributed memory architecture. We explore the limitations imposed by decoherence and propose strategies for mitigation. The ultimate goal is to establish a foundational understanding of this technology and pave the way for future research and development in quantum memory systems.

Aug 31, 20260 citations

Quantum Entanglement-Driven Distributed Storage

Jincheng Zhang

This paper proposes a novel approach to distributed storage leveraging the unique properties of quantum entanglement. Traditional distributed storage systems face limitations in capacity and security. This research introduces a system designed to overcome these limitations by harnessing the non-local nature of entanglement. The core concept involves encoding data into entangled quantum states distributed across multiple nodes. This enables secure data sharing, redundancy, and inherent error correction, potentially achieving significantly higher storage capacity and improved security compared to classical methods. The system utilizes the correlated nature of entangled particles to create a robust and inherently secure storage solution, addressing critical challenges in modern data management. The theoretical framework presented outlines the key principles and potential benefits of this entanglement-driven distributed storage architecture. Further research and development are needed to realize the full potential of this technology.

Sep 4, 20260 citations

Quantum Entanglement-Driven Distributed Memory Network

Jincheng Zhang

This paper proposes a novel architecture for distributed memory networks leveraging quantum entanglement. The core claim is to overcome the limitations of classical physics through entanglement, achieving long-range, low-latency, and high-capacity data storage and retrieval. The proposed network consists of multiple quantum processor nodes interconnected via entangled particles. Information is encoded and manipulated within these entangled states, facilitating transmission and storage across the network. Security is ensured through Quantum Key Distribution (QKD) protocols. The key innovation lies in utilizing entanglement's inherent properties to enable communication and data access beyond the constraints of distance and bandwidth, potentially unlocking unprecedented storage capacities. This approach presents a fundamental shift in network architecture, moving towards a quantum-enhanced paradigm. ---

Aug 31, 20260 citations

Quantum Entanglement-Driven Distributed Memory Storage

Jincheng Zhang

This paper proposes a novel approach to distributed memory storage leveraging the phenomenon of quantum entanglement. The core claim is to achieve long-range, high-capacity, and low-latency distributed storage by exploiting entanglement. The mechanism involves establishing and maintaining multi-party quantum entanglement, encoding information within these entangled states, and utilizing the unique properties of entanglement for data transmission and storage, eliminating the need for classical communication channels. This approach addresses the bandwidth and latency limitations inherent in traditional distributed storage systems, capitalizing on the fundamental properties of quantum mechanics for enhanced information storage capabilities. The theoretical framework and key concepts are presented, outlining the potential for significant advancements in data storage technology. We explore the challenges and opportunities associated with building such a system, focusing on entanglement generation, distribution, and manipulation. The presented model offers a fundamentally different paradigm for data storage, promising substantial improvements in performance and scalability. ---

Aug 29, 20260 citations

Quantum Entanglement-Driven Distributed Storage and Retrieval

Jincheng Zhang

This paper proposes a novel approach to distributed storage and retrieval leveraging the fundamental principles of quantum entanglement. The core idea is to encode data within the entangled states of quantum bits (qubits) distributed across geographically separated nodes. This architecture offers the potential for significantly enhanced performance characteristics, including long-range communication, high bandwidth, and robust data security, compared to conventional storage systems reliant on physical media. The system's operation relies on performing measurements and manipulating the entangled states to achieve data access and protection. We address the critical challenges associated with maintaining entanglement fidelity in the presence of environmental noise and propose strategies for optimization. The proposed method presents a fundamentally new paradigm for data storage and retrieval, capitalizing on the unique properties of quantum mechanics to overcome limitations inherent in classical systems. The theoretical framework presented here lays the groundwork for future research and development in this rapidly evolving field.

Sep 7, 20260 citations