Title: Dimensional Expansion and Quantum Entanglement Coherence – A Novel Computational Paradigm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of dimensionality expansion and quantum entanglement coherence to revolutionize computation. We propose a novel computational framework predicated on the synergistic interplay between dimensionality expansion and quantum entanglement, aiming to transcend the limitations of classical computation. The core mechanism centers around the design of a quantum entanglement simulator capable of modeling complex mathematical geometries and leveraging the inherent properties of entanglement to facilitate a "dimensional expansion" process, ultimately enhancing computational efficiency and potentially uncovering foundational mathematical structures.

DOI: 10.5281/zenodo.22465831

Related papers

Dimension Expansion Quantum Entanglement: A Mathematical Modeling Approach

Jincheng Zhang

This paper introduces a novel mathematical modeling framework for quantum entanglement, extending its core principles to higher-dimensional quantum states. We propose a self-relevant theory predicated on the inherent properties of quantum states, aiming to uncover hidden aspects of entanglement and provide new insights into quantum information processing, quantum computation, and quantum cryptography. The core mechanism centers on leveraging the self-correlation properties of high-dimensional quantum states to generate new mathematical models and algorithms. This work explores potential applications of this framework within these fields, emphasizing the potential for enhanced understanding and novel approaches to quantum technologies.

Sep 4, 20260 citations

Multi-Dimensional Space Quantum Entanglement

Jincheng Zhang

Quantum entanglement, a fundamental phenomenon in quantum mechanics, holds immense potential for technological advancement. This research explores the application of multi-dimensional space quantum entanglement to enhance the stability and scalability of quantum information transfer. We propose a novel quantum computing framework predicated on this concept, aiming to overcome the limitations of current approaches. The core of this investigation centers on the design of a quantum entanglement network operating within a multi-dimensional space, leveraging its unique properties to facilitate more robust and extended entanglement generation. This study will detail the theoretical foundations, experimental design, and preliminary results demonstrating the potential of this approach to revolutionize quantum information processing. The research will culminate in a comprehensive analysis of the framework's performance and potential applications, highlighting its advantages over existing methods.

Aug 31, 20260 citations

Title: Adaptive Geometry of Quantum Entanglement

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, possesses a remarkable property: its ability to correlate states across vast distances without physical transmission. However, harnessing this entanglement for practical applications, particularly in quantum information processing, faces significant challenges. This paper explores a novel approach to quantum entanglement – Adaptive Geometry of Quantum Entanglement – that leverages the inherent dynamism of quantum systems to achieve more complex and efficient information storage and manipulation. We propose a framework based on dynamically adjusting the topology of quantum systems, driven by a concept of "dynamic topology fields." This approach aims to overcome limitations of traditional entanglement-based techniques by offering a fundamentally different pathway to information processing. The core claim is that by constructing multi-scale quantum topological structures, we can achieve more complex and enhanced information storage and processing capabilities. This investigation introduces a new quantum information storage paradigm, offering a potential solution to the inherent limitations of current quantum technologies. This work investigates the theoretical foundations and potential applications of this approach, emphasizing the significance of adaptive geometry in advancing quantum computation.

Sep 2, 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

Quantum Entanglement Computing Models: A Novel Approach to Beyond Classical Computation

Jincheng Zhang

Quantum entanglement, a bizarre phenomenon where two or more particles become linked and share the same fate, holds immense promise for revolutionizing computation. This paper explores the potential of quantum entanglement for novel computation paradigms, focusing on a model designed to transcend the limitations of classical computing. We propose a framework centered around a "纠缠信息编解码" mechanism, which utilizes entanglement as the core foundation for computation. This model aims to enhance quantum computer capabilities, particularly in the realm of complex algorithm implementation and precision simulation. This research will detail the core mechanism, outlining the design of a specialized entanglement coding scheme. The paper will conclude by discussing the challenges and future directions of this research, emphasizing its potential impact on the advancement of quantum computing.

Sep 1, 20260 citations

Title: Quantum Topology-Based Algorithms

Jincheng Zhang

This paper explores the potential of quantum topology as a foundation for novel quantum algorithms. Traditional algorithms often focus on classical computations, but quantum topology offers a unique approach to designing quantum algorithms with enhanced capabilities. We propose a new quantum algorithm framework centered around the principles of quantum topology, aiming to optimize algorithm performance and stability through a refined mechanism. This research investigates the inherent properties of quantum topology and how these properties can be leveraged to create a quantum algorithm that surpasses current limitations. The core mechanism involves analyzing the fundamental structure of quantum topology to guide the algorithm's design, ultimately leading to improved efficiency and robustness.

Sep 4, 20260 citations