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Quantum Entanglement-Driven Distributed Memory Access Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations
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Abstract

This paper proposes a novel approach to distributed memory access optimization leveraging the principles of quantum entanglement. The core idea centers around establishing a network of entangled particles, each linked to a storage unit within a distributed memory system. Measurement of one entangled particle instantaneously reveals the state of its associated storage unit, circumventing traditional distance-based delays. We define the system as: Let $S = \{s_1, s_2, ..., s_K\}$ be the set of storage units in the distributed memory system. Let $E = \{e_1, e_2, ..., e_K\}$ be the set of entangled particles. Each $e_i$ is associated with a storage unit $s_i$, denoted as $e_i \leftrightarrow s_i$. The entanglement state of the system is denoted as $\rho = \sum_{i=1}^{K} p_i |e_i\rangle \langle e_i|$, where $p_i$ is the probability amplitude of the $i$-th entangled particle being in its state. Measuring the state of $e_i$ instantaneously determines the state of $s_i$. This is represented mathematically as: $| \Psi(t) \rangle = \frac{1}{\sqrt{2}} (|e_i\rangle \langle s_i| + |e_i^\dagger\rangle \langle s_i^\dagger|) $ Where $e_i^\dagger$ is the creation operator for the entangled particle and $s_i^\dagger$ is the creation operator for the storage unit. The system utilizes a quantum entanglement network to manage the manipulation and measurement of entangled particles, enabling parallel access to the distributed memory. While practical implementation presents significant challenges, this research explores the potential of quantum information transfer and its application to distributed memory systems, offering a fundamentally new approach to data access optimization. The theoretical framework presented here provides a basis for future research and development in this area.

DOI
10.5281/zenodo.22448873

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This paper proposes a novel approach to distributed memory access leveraging the principles of quantum entanglement entropy. The core idea is to utilize entanglement entropy to efficiently coordinate and route memory access requests, mitigating the latency and bandwidth bottlenecks associated with traditional global consistency models. We construct a quantum entanglement network connecting multiple computing nodes, enabling them to share entangled states. The entropy of these entangled states serves as a metric for determining which nodes possess the desired data. This allows for a fundamentally different, quantum-physical based coordination mechanism, moving beyond the complexity of conventional routing algorithms and consistency protocols. The proposed system aims to achieve significantly reduced access times and improved network utilization by exploiting the inherent correlations provided by quantum entanglement. The theoretical framework and key concepts are presented, outlining the potential for a substantial improvement in distributed memory system performance. The central equation describing the entanglement entropy-based routing is: E=∑i=1K∣si∣2E = \sum_{i=1}^{K} |s_i|^2E=∑i=1K​∣si​∣2, where EEE is the entanglement entropy, and sis_isi​ represents the state of the iii-th entangled qubit. This equation defines the entropy value as the sum of the squared magnitudes of the states of the entangled qubits. Furthermore, the probability of a node possessing the required data is proportional to the entanglement entropy: P(nodei)=Ei∑j=1KEjP(node_i) = \frac{E_i}{\sum_{j=1}^{K} E_j}P(nodei​)=∑j=1K​Ej​Ei​​. The system's performance is analyzed considering the number of entangled qubits (KKK), the entanglement fidelity, and the access latency. We explore potential optimizations and scaling strategies for large-scale distributed systems.
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.
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