Quantum Accelerated Computation via Entangled Teleportation

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper presents a novel approach to hardware acceleration of specific computational tasks leveraging the principles of quantum entanglement and quantum teleportation. The core idea is to decompose complex calculations into a series of entangled qubit operations, facilitated by quantum teleportation, thereby achieving significant speedups. We outline a framework for designing and implementing such accelerators, focusing on the efficiency and scalability of this method. The proposed architecture aims to bypass traditional computational bottlenecks by directly exploiting the inherent parallelism of quantum mechanics. This work establishes a theoretical foundation for quantum teleportation-based hardware acceleration, offering a promising direction for future quantum computing advancements. The key metrics for evaluating performance – speedup and fidelity – are explicitly discussed. ---

DOI: 10.5281/zenodo.22140402

Related papers

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 State Superposition-Based Hardware Acceleration for Computation

Jincheng Zhang

This paper proposes a novel hardware acceleration architecture for computation leveraging the principles of quantum state superposition. Traditional computing paradigms rely heavily on sequential processing, often struggling with the computational demands of large-scale parallel problems. We introduce a quantum bit array-based system designed to exploit superposition, enabling the simultaneous execution of multiple computational tasks. The core concept involves constructing an array of interconnected quantum bits (qubits) where each qubit can exist in a superposition of states. This allows for parallel processing of data, significantly enhancing computational speed and efficiency. We detail the theoretical framework, outlining the key mathematical relationships and operational principles. The architecture's potential for accelerating specific algorithms and the associated performance gains are discussed. This research aims to provide a foundational approach for developing future quantum computing hardware, particularly focusing on harnessing the power of quantum superposition.

Sep 3, 20260 citations

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

Quantum Entanglement-Based Multi-Task Parallel Algorithm

Jincheng Zhang

This paper introduces a novel algorithm leveraging the principles of quantum entanglement to achieve multi-task parallelization with potential superlinear speedup. The core idea centers around designing a computational architecture based on entangled states, where multiple computational tasks are mapped onto a single quantum state through strategic manipulation. This approach fundamentally differs from traditional hardware-level parallel algorithms, utilizing the inherent non-classical correlations offered by quantum mechanics. The algorithm aims to demonstrate the theoretical possibility of superlinear acceleration by exploiting entanglement's ability to correlate the states of distant particles. The paper outlines the conceptual framework, formalizes the key mathematical operations, and discusses the potential challenges and future directions of this research.

Sep 3, 20260 citations

Quantum Entanglement-Based Distributed Algorithm Parallel Acceleration

Jincheng Zhang

This paper investigates the potential for accelerating distributed algorithms utilizing quantum entanglement. The core concept involves leveraging the instantaneous correlation inherent in entangled quantum states to facilitate communication and synchronization between distributed computing nodes, theoretically bypassing the limitations imposed by classical communication constraints. We propose a framework for designing algorithms where nodes, each handling a portion of the data, exploit entanglement to achieve a form of parallel computation. The theoretical analysis demonstrates how this entanglement-mediated communication can, under specific conditions, lead to a significant speedup compared to traditional distributed algorithms. This work explores the fundamental principles and potential challenges associated with this approach, focusing on the algorithmic design and the necessary conditions for achieving observable acceleration. The key focus is on the theoretical underpinnings, acknowledging the significant technological hurdles involved in realizing this concept in practice. The presented model does not involve experimental results, instead focusing on the theoretical framework and potential impact.

Sep 1, 20260 citations