Quantum Entanglement for Logical Computation: A Novel Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar phenomenon in quantum mechanics, holds the potential to revolutionize computation. This paper explores the application of quantum entanglement to develop a novel logic calculation algorithm, aiming to surpass the limitations of classical computation. We propose a system that leverages entangled qubits to perform complex logical operations, demonstrating a significant improvement in computational efficiency. The core mechanism centers around manipulating entangled states to represent and manipulate logical variables, offering a pathway towards fundamentally faster and more powerful computations. This research presents a foundational argument for the potential of quantum entanglement in logical computation, highlighting the key design choices and preliminary results that support this concept.

DOI: 10.5281/zenodo.22191075

Related papers

Quantum Entanglement-Based Logical Computation

Jincheng Zhang

Quantum entanglement, a bizarre phenomenon where two or more particles become linked regardless of the distance separating them, holds immense potential for revolutionizing computation. This paper explores the possibility of utilizing quantum entanglement to create a novel logical computation framework, leveraging the unique properties of entangled states to enhance computational efficiency. We propose a new conceptual model for logical operations based on entangled qubits, aiming to surpass the limitations of classical logic in handling complex computations. The core of this work focuses on the design of a quantum logic system that employs entanglement to facilitate a deeper level of logical reasoning than currently achievable with conventional methods. This investigation presents a preliminary framework, highlighting the potential for significant advancements in computational power through the integration of quantum entanglement.

Sep 3, 20260 citations

Quantum Entanglement and Non-Standard Logic Computation

Jincheng Zhang

Quantum entanglement, a bizarre yet fundamental phenomenon in quantum mechanics, holds significant potential for revolutionizing computation. This paper explores the utilization of quantum entanglement as a cornerstone for a novel logic computation model, aiming to leverage its unique properties for advanced calculation and data processing. We propose a framework centered around the design of a quantum entanglement-based logic system, emphasizing parallel processing and information transfer capabilities. The core claim posits that this model offers a fundamentally different approach to computation compared to traditional methods, potentially unlocking new computational paradigms. The paper details the core mechanism, outlining the design of a quantum entanglement-driven logic system, and provides a preliminary investigation into potential algorithms and their impact. We conclude with a discussion of the implications and future research directions for this nascent field.

Sep 5, 20260 citations

Quantum Entanglement Non-Local Quantum Computation

Jincheng Zhang

Quantum entanglement, a fundamental phenomenon in quantum mechanics, holds the potential to revolutionize computation. This paper explores the development of a novel quantum computing framework based on entanglement, aiming to overcome limitations in traditional approaches and unlock more powerful computational capabilities. We detail the core mechanisms employed to leverage entanglement for robust and scalable quantum information processing. The research centers on constructing a hybrid quantum system that leverages entangled qubits to achieve non-local quantum computations, offering a pathway towards significant advancements in computational complexity and problem-solving. This work presents a comprehensive overview of the framework, detailing the mathematical underpinnings and potential applications.

Aug 31, 20260 citations

Quantum Entanglement Expansion State Computation

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, holds immense potential for revolutionizing computation. This paper explores the application of quantum entanglement to expand state computation, aiming to develop novel methods for solving complex problems with enhanced computational power. We outline a core mechanism leveraging entanglement to generate and manipulate extended quantum states, culminating in the derivation of physical properties through this process. The research focuses on utilizing entanglement's inherent non-classical properties to overcome limitations of conventional quantum algorithms. This work presents a fundamentally new approach to quantum state computation, offering a pathway towards potentially transformative advancements in quantum information processing.

Sep 4, 20260 citations

Quantum Entanglement-Based Calculation Model

Jincheng Zhang

Quantum entanglement, a perplexing phenomenon in quantum mechanics, holds the potential to revolutionize computation. This paper explores the design of a novel calculation model predicated on entanglement, aiming to accelerate complex calculations through the exploitation of this quantum property. We introduce the concept of 'entangled states' as a core mechanism, utilizing their unique characteristics to facilitate parallel processing and enhanced computational efficiency. The model's core claim centers around the ability to leverage entanglement to significantly reduce computational complexity compared to traditional methods. This research will detail the proposed model's architecture, the mathematical framework underpinning its operation, and preliminary results demonstrating its potential for advanced calculations. We will also address challenges and future directions for this burgeoning field.

Sep 4, 20260 citations

Core Claim: We propose a novel matrix computation method based on quantum entanglement, leveraging the entanglement properties to enhance the computational efficiency of matrix operations.

Jincheng Zhang

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique pathway to computational advantage. This paper investigates a new approach to matrix computation, utilizing quantum entanglement as a core mechanism to achieve significantly improved computational efficiency compared to classical methods. The proposed method explores the potential of manipulating entangled states to perform matrix operations, demonstrating a promising pathway towards a more efficient and scalable quantum computation. We present a detailed theoretical framework and preliminary implementation demonstrating the potential of this approach. The research focuses on enhancing matrix multiplication and eigenvalue calculations, offering a foundation for future explorations in quantum algorithms and hardware development.

Sep 5, 20260 citations