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

基于动态拓扑的量子隐形传态

Jincheng Zhang

Published Sep 4, 2026• 0 citations
Publisher

Abstract

This paper investigates the potential of utilizing dynamic topology as a core mechanism for quantum state transmission, offering a novel approach to overcome limitations of traditional quantum information processing. We present a theoretical framework centered around the design of a quantum-assisted dynamic topology, demonstrating its capacity to significantly enhance the speed and security of quantum state transfer. The proposed method leverages the inherent properties of dynamic topology to facilitate rapid state propagation and enhance the robustness of the transmission process. The core claim is that this dynamic topology-based approach offers a significant advancement in quantum information transfer. The paper details the design of the dynamic topology structure, its interaction with quantum states, and the resulting improvements in transmission efficiency and security compared to conventional methods.

DOI
10.5281/zenodo.22294755

Related papers

基于自适应的量子态的自适应拓扑变换

Jincheng Zhang

This paper investigates a novel approach to quantum state manipulation leveraging the inherent properties of quantum entanglement. We propose a robust and adaptable quantum state transformation method, termed "Adaptive Topological Transformation" (ATT), that dynamically adjusts the quantum state's topology through the application of entangled correlations. The ATT algorithm aims to enhance quantum information processing and transmission by enabling efficient and flexible transformations of quantum states, overcoming the limitations of traditional optimization techniques. This work introduces a novel mechanism centered around the dynamic manipulation of quantum entanglement, offering a promising pathway to more efficient and versatile quantum operations. The core claim centers on the utilization of entangled correlations to dynamically shape the quantum state's topology, resulting in improved computational and communication efficiency.

•Sep 4, 2026•0 citations

Quantum Topology: An Intrinsic Information Encoding and Transfer Method

Jincheng Zhang

Quantum topology, a fascinating field of physics, offers the potential for novel information encoding and transmission methods. This paper explores the application of quantum topology to design a secure and efficient information transfer protocol. We propose a method leveraging the unique properties of quantum topology, specifically the formation of topological defects and the interplay of quantum entanglement, to achieve information security and enhanced transmission speeds. This research focuses on a novel approach that utilizes the inherent structure of quantum systems to create a robust and adaptable system for secure communication. The core mechanism involves exploiting topological properties to circumvent traditional cryptographic vulnerabilities. The paper details the theoretical underpinnings, proposes a practical implementation framework, and discusses the potential implications for future quantum information security.

•Sep 4, 2026•0 citations

基于自适应拓扑的量子态转移与编码

Jincheng Zhang

This paper investigates the potential of leveraging self-adaptive topology for quantum state transfer and encoding. The core challenge in quantum information processing lies in efficiently transferring and encoding quantum states, often requiring complex and computationally intensive manipulations. Traditional approaches struggle with these challenges due to their reliance on static qubit configurations. We propose a novel framework utilizing self-adaptive topology to dynamically adjust the encoding and manipulation of quantum states, potentially leading to significant improvements in quantum state fidelity and computational efficiency. The proposed method focuses on constructing a robust and adaptable topology that facilitates precise state transfers and encodes, offering a fundamentally different approach to quantum information processing. The paper details the design of a self-adaptive topology, the implementation of a transfer algorithm, and the resulting performance improvements compared to existing methods. Finally, we discuss the potential implications of this research for advancing the capabilities of quantum computing.

•Aug 31, 2026•0 citations

自适应拓扑拓扑层级的量子信息传输

Jincheng Zhang

Quantum information transfer is a critical challenge in quantum computing and quantum communication. Traditional methods often struggle with the inherent fragility of quantum states, making reliable and efficient transfer difficult. This paper explores a novel quantum information transfer algorithm based on the concept of adaptive topology, aiming to overcome these limitations through precise encoding and transmission. We propose a system where the quantum state is encoded and manipulated within a dynamically evolving topology, allowing for enhanced fidelity and reduced error rates. The core mechanism utilizes a self-organizing topology to ensure the preservation of quantum information during transmission. We analyze the algorithm's performance, demonstrating significant improvements in transfer efficiency and fidelity compared to existing approaches. This work contributes to the advancement of quantum information technologies by providing a robust and adaptable framework for secure and reliable quantum communication.

•Sep 5, 2026•0 citations

Quantum Entanglement Field Topology

Jincheng Zhang

Quantum entanglement, a fundamental aspect of quantum mechanics, holds immense potential for revolutionizing communication and computation. However, the inherent fragility of entangled states presents significant challenges for reliable data transmission. This paper investigates the use of topological quantum field theory to enhance quantum entanglement, proposing a novel framework centered around dynamically constructed topological structures. We explore how these structures can bolster the stability and transfer capability of entangled states, offering a potential pathway to more robust and efficient quantum communication and computation. The core claim is that the integration of dynamic topology into quantum entanglement will yield a significant improvement in these areas. This work presents a theoretical framework based on the principles of self-similarity and the manipulation of topological properties. The investigation will focus on creating a quantum field topology that facilitates stable entanglement, leading to enhanced data security and computational speed.

•Sep 3, 2026•0 citations

Core Claim: Researching dynamic information encoding based on geometric topology, aiming to enhance quantum data transmission in quantum computing and quantum communication through the utilization of quantum entanglement and geometric properties.

Jincheng Zhang

This paper introduces a novel approach to quantum data transmission leveraging geometric topology. Quantum data encoding, traditionally focused on classical data, is reimagined to utilize the unique properties of geometric topology to create robust and efficient quantum communication channels. The core mechanism centers on encoding data as quantum states, and exploiting the inherent correlations of quantum entanglement to achieve enhanced security and increased data transfer rates. This work investigates the potential of geometric topology to revolutionize quantum communication, offering a fundamentally different approach compared to existing techniques. We demonstrate the feasibility of encoding complex data structures using geometric topology, specifically focusing on minimizing the number of qubits required for transmission and maximizing the fidelity of the encoded data. The study explores various geometric topologies and their corresponding impact on the security and efficiency of quantum data transfer, ultimately proposing a robust framework for dynamic information encoding within quantum systems. The research utilizes a combination of theoretical analysis and numerical simulations to validate the proposed methodology, highlighting its potential for significant advancements in quantum communication. The analysis considers various geometric topologies, including hyperbolic geometry and projective geometry, and their implications for data security and transmission rates. We present preliminary results demonstrating improved data security and enhanced transmission rates compared to existing methods, showcasing the practical viability of this geometric topology-based approach. Further research will focus on refining the encoding process and exploring the application of this technique to more complex data types.

•Sep 5, 2026•0 citations
This paper investigates the potential of utilizing dynamic topology as a core mechanism for quantum state transmission, offering a novel approach to overcome limitations of traditional quantum information processing. We present a theoretical framework centered around the design of a quantum-assisted dynamic topology, demonstrating its capacity to significantly enhance the speed and security of quantum state transfer. The proposed method leverages the inherent properties of dynamic topology to facilitate rapid state propagation and enhance the robustness of the transmission process. The core claim is that this dynamic topology-based approach offers a significant advancement in quantum information transfer. The paper details the design of the dynamic topology structure, its interaction with quantum states, and the resulting improvements in transmission efficiency and security compared to conventional methods.
This paper investigates a novel approach to quantum state manipulation leveraging the inherent properties of quantum entanglement. We propose a robust and adaptable quantum state transformation method, termed "Adaptive Topological Transformation" (ATT), that dynamically adjusts the quantum state's topology through the application of entangled correlations. The ATT algorithm aims to enhance quantum information processing and transmission by enabling efficient and flexible transformations of quantum states, overcoming the limitations of traditional optimization techniques. This work introduces a novel mechanism centered around the dynamic manipulation of quantum entanglement, offering a promising pathway to more efficient and versatile quantum operations. The core claim centers on the utilization of entangled correlations to dynamically shape the quantum state's topology, resulting in improved computational and communication efficiency.
Quantum topology, a fascinating field of physics, offers the potential for novel information encoding and transmission methods. This paper explores the application of quantum topology to design a secure and efficient information transfer protocol. We propose a method leveraging the unique properties of quantum topology, specifically the formation of topological defects and the interplay of quantum entanglement, to achieve information security and enhanced transmission speeds. This research focuses on a novel approach that utilizes the inherent structure of quantum systems to create a robust and adaptable system for secure communication. The core mechanism involves exploiting topological properties to circumvent traditional cryptographic vulnerabilities. The paper details the theoretical underpinnings, proposes a practical implementation framework, and discusses the potential implications for future quantum information security.
This paper investigates the potential of leveraging self-adaptive topology for quantum state transfer and encoding. The core challenge in quantum information processing lies in efficiently transferring and encoding quantum states, often requiring complex and computationally intensive manipulations. Traditional approaches struggle with these challenges due to their reliance on static qubit configurations. We propose a novel framework utilizing self-adaptive topology to dynamically adjust the encoding and manipulation of quantum states, potentially leading to significant improvements in quantum state fidelity and computational efficiency. The proposed method focuses on constructing a robust and adaptable topology that facilitates precise state transfers and encodes, offering a fundamentally different approach to quantum information processing. The paper details the design of a self-adaptive topology, the implementation of a transfer algorithm, and the resulting performance improvements compared to existing methods. Finally, we discuss the potential implications of this research for advancing the capabilities of quantum computing.
Quantum information transfer is a critical challenge in quantum computing and quantum communication. Traditional methods often struggle with the inherent fragility of quantum states, making reliable and efficient transfer difficult. This paper explores a novel quantum information transfer algorithm based on the concept of adaptive topology, aiming to overcome these limitations through precise encoding and transmission. We propose a system where the quantum state is encoded and manipulated within a dynamically evolving topology, allowing for enhanced fidelity and reduced error rates. The core mechanism utilizes a self-organizing topology to ensure the preservation of quantum information during transmission. We analyze the algorithm's performance, demonstrating significant improvements in transfer efficiency and fidelity compared to existing approaches. This work contributes to the advancement of quantum information technologies by providing a robust and adaptable framework for secure and reliable quantum communication.
Quantum entanglement, a fundamental aspect of quantum mechanics, holds immense potential for revolutionizing communication and computation. However, the inherent fragility of entangled states presents significant challenges for reliable data transmission. This paper investigates the use of topological quantum field theory to enhance quantum entanglement, proposing a novel framework centered around dynamically constructed topological structures. We explore how these structures can bolster the stability and transfer capability of entangled states, offering a potential pathway to more robust and efficient quantum communication and computation. The core claim is that the integration of dynamic topology into quantum entanglement will yield a significant improvement in these areas. This work presents a theoretical framework based on the principles of self-similarity and the manipulation of topological properties. The investigation will focus on creating a quantum field topology that facilitates stable entanglement, leading to enhanced data security and computational speed.
This paper introduces a novel approach to quantum data transmission leveraging geometric topology. Quantum data encoding, traditionally focused on classical data, is reimagined to utilize the unique properties of geometric topology to create robust and efficient quantum communication channels. The core mechanism centers on encoding data as quantum states, and exploiting the inherent correlations of quantum entanglement to achieve enhanced security and increased data transfer rates. This work investigates the potential of geometric topology to revolutionize quantum communication, offering a fundamentally different approach compared to existing techniques. We demonstrate the feasibility of encoding complex data structures using geometric topology, specifically focusing on minimizing the number of qubits required for transmission and maximizing the fidelity of the encoded data. The study explores various geometric topologies and their corresponding impact on the security and efficiency of quantum data transfer, ultimately proposing a robust framework for dynamic information encoding within quantum systems. The research utilizes a combination of theoretical analysis and numerical simulations to validate the proposed methodology, highlighting its potential for significant advancements in quantum communication. The analysis considers various geometric topologies, including hyperbolic geometry and projective geometry, and their implications for data security and transmission rates. We present preliminary results demonstrating improved data security and enhanced transmission rates compared to existing methods, showcasing the practical viability of this geometric topology-based approach. Further research will focus on refining the encoding process and exploring the application of this technique to more complex data types.