Quantum Entanglement-Driven Distributed Memory

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper proposes a novel approach to distributed memory leveraging the fundamental principles of quantum entanglement. The core claim is that direct utilization of entanglement enables distributed storage and retrieval, overcoming the limitations imposed by classical physical distances and offering significantly enhanced information capacity and access speeds compared to conventional methods. The proposed system utilizes a network of entangled quantum bits (qubits), manipulated and measured to encode, transmit, and decode information. Quantum Key Distribution (QKD) protocols are integrated to ensure the security of the distributed memory system. The research introduces a new paradigm – treating entanglement as the foundational physics for information storage and transmission, moving beyond its traditional role in cryptography and establishing a new distributed computing architecture. This architecture promises scalable and high-performance data management solutions.

DOI: 10.5281/zenodo.22137483

Related papers

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-Based Distributed Memory Storage (QEDMS)

Jincheng Zhang

This paper presents a novel approach to distributed memory storage, termed Quantum Entanglement-Based Distributed Memory Storage (QEDMS). QEDMS leverages the principles of quantum entanglement to achieve highly secure distributed storage and retrieval, addressing limitations inherent in traditional physical storage mediums such as capacity constraints and transmission bottlenecks. The core mechanism involves partitioning information into quantum bits and distributing them across multiple nodes via entangled states. Information retrieval is accomplished without direct data transmission by measuring these entangled states. Synchronization and entanglement maintenance amongst nodes are facilitated through Quantum Key Distribution (QKD) protocols. QEDMS offers a fundamentally new paradigm for data storage, providing unparalleled security and potentially vast storage capacity. This work outlines the theoretical framework, key components, and operational principles of QEDMS, highlighting its potential impact on secure data storage and retrieval.

Aug 31, 20260 citations

**Quantum Entanglement-Based Distributed Memory**

Jincheng Zhang

This paper proposes a novel approach to distributed memory leveraging the unique properties of quantum entanglement. The core claim is that entanglement can enable long-range, low-latency, and high-capacity distributed memory, effectively bypassing the limitations of traditional network-based data transfer. The proposed mechanism involves a distributed storage system built upon Quantum Key Distribution (QKD) principles. Each node in the system stores a portion of the overall data, and entanglement between quantum bits (qubits) is utilized to establish correlations. By performing measurements and operations on these entangled states, data access and updates can be achieved rapidly and securely across geographically separated nodes. This work addresses the significant challenges inherent in maintaining high-fidelity entanglement and developing efficient entanglement manipulation protocols for large-scale quantum networks. The theoretical framework presented here outlines a foundational architecture for this emerging technology.

Aug 31, 20260 citations

Based on Quantum Entanglement: Distributed Memory Retrieval

Jincheng Zhang

This paper proposes a novel approach to distributed memory retrieval leveraging the principles of quantum entanglement. The core idea centers on constructing a network of entangled quantum bits (QBs), each storing a fragment of information. By performing measurements on a selected QB within this network, we can instantaneously determine the information stored in all other entangled QBs, enabling distributed memory retrieval. Furthermore, a quantum key distribution (QKD) protocol is integrated to ensure the security of the retrieval process. This method offers potential advantages over traditional distributed storage and retrieval systems, particularly in terms of speed and security, addressing limitations imposed by classical communication bandwidth and vulnerabilities. The system aims to achieve near-instantaneous information transfer and highly secure data retrieval, with implications for applications demanding robust security and high data throughput, such as secure cloud storage and advanced data analytics. The theoretical framework and key concepts are presented, outlining the core components and operational principles of this entanglement-based distributed memory retrieval system. ---

Aug 28, 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