Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Based on Quantum Entanglement: Distributed Coprocessor

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

This paper proposes a novel architecture for distributed coprocessor networks leveraging the unique properties of quantum entanglement. The core idea is to utilize entangled nodes for ultra-fast, secure data transmission and computation, overcoming the limitations of traditional distributed computing systems. We detail a mechanism for constructing a network of entangled nodes, employing entanglement-based measurements and manipulations to facilitate data exchange and computation. The use of Quantum Key Distribution (QKD) protocols ensures the security of the communication channel. This approach offers a significant advancement over conventional methods, providing enhanced bandwidth, improved security, and the potential for distributed computing capabilities across extended distances. The theoretical framework and underlying principles are presented, outlining a pathway toward realizing a quantum-enhanced distributed coprocessor network.

DOI
10.5281/zenodo.22584483

Related papers

Based on Quantum Entanglement: A Distributed Coprocessor Architecture

Jincheng Zhang

This paper proposes a novel distributed coprocessor architecture leveraging quantum entanglement for ultra-low latency and high-bandwidth computing. The core idea is to overcome the limitations of traditional networks by utilizing the instantaneous correlations inherent in entangled quantum states. The architecture consists of multiple quantum processor nodes interconnected via entangled states, facilitating parallel execution of computational tasks. Synchronization and entanglement maintenance are handled by a real-time control system based on superconducting quantum interference devices (SQUIDs). This approach promises significant performance improvements compared to conventional distributed computing paradigms, addressing fundamental bottlenecks in data transmission and processing. The key mathematical model will be presented, focusing on the entanglement distribution, data processing, and result aggregation processes. The architecture's potential applications span high-frequency trading, real-time data analytics, and secure communication. ---

•Aug 31, 2026•0 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, 2026•0 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, 2026•0 citations

Quantum Entanglement-Driven Distributed Computing Accelerator

Jincheng Zhang

This paper proposes a novel distributed computing accelerator leveraging quantum entanglement for significantly enhanced performance. The core idea is to utilize the instantaneous correlation inherent in entangled quantum states to facilitate rapid data sharing and computation across geographically distant nodes. The system architecture consists of a network of interconnected nodes, each comprising a quantum memory and a quantum processor. Quantum information is encoded into entangled states and transmitted between nodes, bypassing the limitations of classical communication channels. We explore the theoretical potential of this approach to overcome bandwidth bottlenecks and latency issues prevalent in traditional distributed computing, paving the way for ultra-fast distributed computation. The system utilizes entanglement coding techniques for efficient data transmission and proposes a framework for scalable quantum distributed computing. The key contributions lie in the conceptual design of an entanglement-based distributed computing architecture and the exploration of the fundamental advantages offered by quantum correlations. The proposed accelerator addresses critical challenges in high-performance computing, particularly in scenarios demanding rapid data processing across large, distributed systems. Mathematical notation and key formulas are presented throughout to illustrate the core concepts and principles.

•Aug 29, 2026•0 citations

Quantum Entanglement Encoding of a Distributed Semantic Network

Jincheng Zhang

This paper proposes a novel architecture for a distributed semantic network leveraging the unique properties of quantum entanglement. The core concept involves encoding semantic data into the entangled superposition states of multiple quantum bits (qubits) distributed across physically separated nodes. This approach aims to achieve ultra-high bandwidth and ultra-low latency data transmission and storage, overcoming the limitations of classical communication channels. Each node comprises a quantum processor and an entanglement generator. The distributed processing and storage of semantic data are then facilitated through the inherent correlations provided by quantum entanglement. This architecture represents a significant departure from conventional data networking paradigms and offers a pathway toward realizing fundamentally faster and more efficient distributed systems. The key elements of this system are the generation and distribution of highly entangled states and the subsequent manipulation of these states for data encoding and retrieval. This research explores the theoretical foundations and potential applications of this quantum-enhanced distributed semantic network.

•Aug 29, 2026•0 citations

Quantum Entanglement-Driven Distributed Computing Engine

Jincheng Zhang

This paper proposes a novel distributed computing engine leveraging quantum entanglement for unprecedented computational capabilities. The core idea centers around establishing a network of quantum processors interconnected through precisely engineered entanglement protocols, facilitating instantaneous data transfer and parallel computation across nodes. The engine aims to overcome the limitations imposed by the speed of light in classical distributed systems, offering a pathway to solving complex problems with significantly reduced latency and increased processing speed. We introduce a theoretical framework outlining the engine's architecture and operational principles, focusing on the utilization of entangled states for data parallelism and the elimination of communication bottlenecks. The proposed system represents a fundamental shift in distributed computing, moving beyond classical constraints towards a quantum-enhanced paradigm. Key performance metrics, such as computational speedup and latency reduction, are analyzed within the framework, demonstrating the potential of this technology. The exploration is primarily theoretical, focusing on the design principles and potential benefits of such an engine.

•Sep 4, 2026•0 citations
This paper proposes a novel architecture for distributed coprocessor networks leveraging the unique properties of quantum entanglement. The core idea is to utilize entangled nodes for ultra-fast, secure data transmission and computation, overcoming the limitations of traditional distributed computing systems. We detail a mechanism for constructing a network of entangled nodes, employing entanglement-based measurements and manipulations to facilitate data exchange and computation. The use of Quantum Key Distribution (QKD) protocols ensures the security of the communication channel. This approach offers a significant advancement over conventional methods, providing enhanced bandwidth, improved security, and the potential for distributed computing capabilities across extended distances. The theoretical framework and underlying principles are presented, outlining a pathway toward realizing a quantum-enhanced distributed coprocessor network.
This paper proposes a novel distributed coprocessor architecture leveraging quantum entanglement for ultra-low latency and high-bandwidth computing. The core idea is to overcome the limitations of traditional networks by utilizing the instantaneous correlations inherent in entangled quantum states. The architecture consists of multiple quantum processor nodes interconnected via entangled states, facilitating parallel execution of computational tasks. Synchronization and entanglement maintenance are handled by a real-time control system based on superconducting quantum interference devices (SQUIDs). This approach promises significant performance improvements compared to conventional distributed computing paradigms, addressing fundamental bottlenecks in data transmission and processing. The key mathematical model will be presented, focusing on the entanglement distribution, data processing, and result aggregation processes. The architecture's potential applications span high-frequency trading, real-time data analytics, and secure communication. ---
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.
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. ---
This paper proposes a novel distributed computing accelerator leveraging quantum entanglement for significantly enhanced performance. The core idea is to utilize the instantaneous correlation inherent in entangled quantum states to facilitate rapid data sharing and computation across geographically distant nodes. The system architecture consists of a network of interconnected nodes, each comprising a quantum memory and a quantum processor. Quantum information is encoded into entangled states and transmitted between nodes, bypassing the limitations of classical communication channels. We explore the theoretical potential of this approach to overcome bandwidth bottlenecks and latency issues prevalent in traditional distributed computing, paving the way for ultra-fast distributed computation. The system utilizes entanglement coding techniques for efficient data transmission and proposes a framework for scalable quantum distributed computing. The key contributions lie in the conceptual design of an entanglement-based distributed computing architecture and the exploration of the fundamental advantages offered by quantum correlations. The proposed accelerator addresses critical challenges in high-performance computing, particularly in scenarios demanding rapid data processing across large, distributed systems. Mathematical notation and key formulas are presented throughout to illustrate the core concepts and principles.
This paper proposes a novel architecture for a distributed semantic network leveraging the unique properties of quantum entanglement. The core concept involves encoding semantic data into the entangled superposition states of multiple quantum bits (qubits) distributed across physically separated nodes. This approach aims to achieve ultra-high bandwidth and ultra-low latency data transmission and storage, overcoming the limitations of classical communication channels. Each node comprises a quantum processor and an entanglement generator. The distributed processing and storage of semantic data are then facilitated through the inherent correlations provided by quantum entanglement. This architecture represents a significant departure from conventional data networking paradigms and offers a pathway toward realizing fundamentally faster and more efficient distributed systems. The key elements of this system are the generation and distribution of highly entangled states and the subsequent manipulation of these states for data encoding and retrieval. This research explores the theoretical foundations and potential applications of this quantum-enhanced distributed semantic network.
This paper proposes a novel distributed computing engine leveraging quantum entanglement for unprecedented computational capabilities. The core idea centers around establishing a network of quantum processors interconnected through precisely engineered entanglement protocols, facilitating instantaneous data transfer and parallel computation across nodes. The engine aims to overcome the limitations imposed by the speed of light in classical distributed systems, offering a pathway to solving complex problems with significantly reduced latency and increased processing speed. We introduce a theoretical framework outlining the engine's architecture and operational principles, focusing on the utilization of entangled states for data parallelism and the elimination of communication bottlenecks. The proposed system represents a fundamental shift in distributed computing, moving beyond classical constraints towards a quantum-enhanced paradigm. Key performance metrics, such as computational speedup and latency reduction, are analyzed within the framework, demonstrating the potential of this technology. The exploration is primarily theoretical, focusing on the design principles and potential benefits of such an engine.