Quantum Entanglement-Based Dynamic Topological Optimization for Information Encoding and Decoding

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores a novel approach to quantum information encoding and decoding by leveraging the dynamic topology of quantum entanglement. Traditional quantum information processing methods largely rely on static entangled states, potentially limiting information transmission rates. We propose a system architecture incorporating multiple controlled quantum bits (qubits) exhibiting dynamic entanglement. Through precise manipulation of qubit positions and interactions, we harness the topological changes within the entanglement to encode and decode information. A topological optimization algorithm is then introduced, continuously adjusting the system's qubit topology based on information transmission efficiency and entanglement stability criteria. The core claim is that this dynamic topological control enables optimization of the encoding and decoding process, potentially surpassing the classical information transmission limit. The fundamental mechanisms involve exploiting the temporal evolution of entanglement, coupled with a feedback control loop driven by topological optimization. Mathematical formulations are presented to describe the key components of the system, including the entanglement entropy, the topological optimization objective function, and the dynamics of the qubit positions. This work represents a significant step toward realizing more efficient and robust quantum information networks. ---

DOI: 10.5281/zenodo.22316996

Related papers

Quantum Entanglement Information Encoding and Dynamic Topological Networks

Jincheng Zhang

This paper investigates a novel approach to information encoding leveraging quantum entanglement within a dynamically controlled topological network. The core concept involves harnessing the non-local nature of entanglement to achieve transmission rates exceeding those attainable through classical channels. We propose a system where entangled nodes are strategically positioned within a network exhibiting non-exchangeable connections. Dynamic adjustments to the network topology—specifically, modifying the connections between nodes—are employed to manipulate the entangled states, thereby facilitating information encoding and decoding. The key innovation lies in the integration of entanglement information encoding with topological network dynamic control, addressing the limitations of static topological networks and the fragility of entangled states. Mathematical models are presented to describe the system's behavior, focusing on the manipulation of entanglement and the impact of network topology on information transfer. We demonstrate the potential for significantly enhanced information throughput by exploiting the inherent properties of quantum entanglement and the adaptability of topological networks. The proposed framework offers a pathway to robust and high-speed quantum communication.

Aug 31, 20260 citations

Dynamic Quantum Entanglement Topological Network Optimization

Jincheng Zhang

This paper presents a novel approach to optimizing quantum entanglement topological networks for dynamic computation and data transmission. The core claim centers around the ability to dynamically adjust the physical connections within an entanglement network in real-time, surpassing the limitations of traditional distributed computing. This is achieved by leveraging the inherent fragility of entangled states and employing controlled physical perturbations to modify node connections, thereby altering the transmission pathways and resource allocation of quantum information. A key component of this system is the integration of machine learning algorithms to predict and proactively adjust the entanglement topology, adapting to fluctuating computational demands. The proposed method offers a fundamentally new paradigm for quantum computing, moving beyond static architectures towards adaptable, resource-optimized networks. The underlying mathematical framework is detailed, focusing on the manipulation of entangled states and the optimization algorithms employed. This work demonstrates a pathway towards scalable and efficient quantum computation by capitalizing on the unique properties of quantum entanglement.

Aug 29, 20260 citations

Dynamic Quantum Entanglement Topological Encoding

Jincheng Zhang

This paper presents a novel approach to quantum entanglement encoding and decoding based on dynamically manipulating topological states within a superconducting network. The core concept involves utilizing topological defects in superconducting circuits and microwave control to inject and manipulate quantum states within topological states, enabling dynamic entanglement generation, transmission, and decoding without relying on conventional physical switches. This methodology overcomes the inherent limitations of static entanglement encoding methods, offering the potential for real-time quantum information control and enhanced quantum error correction. The system leverages feedback control to maintain the stability of the generated topological entanglement. We demonstrate a framework for achieving dynamic entanglement manipulation, paving the way for advanced quantum communication and computation protocols. The theoretical framework and underlying mechanisms are detailed, focusing on the precise control of quantum states within the topological environment. The presented approach represents a significant step towards practical, adaptable quantum technologies.

Sep 3, 20260 citations

Quantum State Dynamics and Adaptive Topology Optimization

Jincheng Zhang

Quantum state dynamics represent a fundamental challenge in quantum computing and communication. Traditional optimization approaches often focus on static topologies, limiting the potential for efficient quantum information processing and transmission. This paper explores a novel dynamic topology optimization method leveraging quantum entanglement to dynamically adjust quantum state topology, offering a significant advancement over existing techniques. We introduce a framework that utilizes entangled states to guide a process of state evolution, resulting in improved fidelity, reduced error rates, and enhanced quantum communication capabilities. The core mechanism revolves around the entanglement-driven manipulation of quantum states, enabling a more flexible and powerful optimization strategy. This work demonstrates the potential of this approach through theoretical analysis and preliminary experimental validation.

Sep 4, 20260 citations

Dynamic Topological Quantum Error Correction Code

Jincheng Zhang

This paper investigates a novel approach to quantum error correction, termed the Dynamic Topological Quantum Error Correction Code. The core claim posits that the topological structure of quantum error correction codes is not static, but rather adaptable to the dynamic evolution of quantum information encoding. This adaptability is achieved through a programmable topological network that utilizes controlled topological transformations of entangled states. The mechanism involves dynamically altering topological connections between qubits during quantum information transmission, optimizing error correction rates and efficiency. The research addresses the limitations of traditional topological quantum error correction codes, which assume a fixed topological structure, by introducing a real-time responsive network capable of adapting and optimizing its correction performance. We propose a framework for designing such a system, focusing on the control and manipulation of entangled states to achieve dynamic topological reconfiguration. The key innovation lies in the ability to shift from a static, pre-determined topology to a topology optimized for the current state of the encoded quantum information. This approach offers a significant potential improvement in the robustness and efficiency of quantum communication and computation. The theoretical framework presented outlines the fundamental principles and considerations for implementing this dynamic code, paving the way for future advancements in quantum error correction.

Aug 31, 20260 citations

Topological Entanglement Network Optimization Based on Quantum Coherence Time

Jincheng Zhang

This paper explores a novel approach to optimizing topological entanglement networks by leveraging precise control over quantum coherence time. The core concept involves utilizing a feedback control system to monitor and dynamically adjust coherence times within the network, guided by the underlying topological structure. This adaptive control mechanism aims to maximize information transmission efficiency and enhance the network's resilience to noise and errors. We present a theoretical framework detailing the optimization process, incorporating mathematical models to describe coherence time dynamics and network connectivity. The proposed strategy offers a pathway towards realizing more robust and efficient quantum entanglement networks, crucial for applications in quantum communication, computation, and sensing. The key elements of this work include a detailed mathematical description of coherence time control, a topological network optimization algorithm, and an analysis of the resulting performance improvements.

Aug 31, 20260 citations