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

International Conference on Communications, Circuits and Systems

A Quantum Information Network and Its Properties Driven by External Fields

Fang Jingqing, Bi Qiao

Published Jun 1, 2006• 0 citations
Publisher

Abstract

We propose a quantum information network with structure of the Gauss channel, and has studied this network topological property and the information characteristic under specific external field driving and different parameter, if introducing catastrophic polynomials, the degree distribution has the spatial and temporal characteristic, and appear the positive or negative exponent of power-law which can influence the assortative coefficient. This is possibly helpful to open a way using the different type of driving to introduce the expected properties for the network.

DOI
10.1109/icccas.2006.285221

Related papers

Quantum States of Self-Organizing Information Fields

Jincheng Zhang

Quantum information fields are fundamentally different from classical information fields, exhibiting unique properties that enable novel computational paradigms. This paper explores the concept of self-organizing information fields – a theoretical framework that posits the existence of patterns and structures within these fields that drive their dynamic behavior. We investigate the potential of leveraging these self-organizing characteristics to design a quantum algorithm that surpasses current limitations in quantum computation and data transmission. The core mechanism centers around identifying and exploiting specific patterns within these fields to generate highly efficient and rapid data transfer. The investigation begins with a conceptual analysis of self-organization, progresses through a proposed quantum algorithm architecture, and ultimately details the anticipated benefits of this approach. This work seeks to contribute to the advancement of quantum information processing by demonstrating a viable path towards more powerful and versatile quantum technologies.

•Sep 5, 2026•0 citations

Exploring Quantum Information Flow in Multi-Particle Entangled Networks

Dr. Ruman Singh

Quantum information science has altered the concept of the method of processing and transporting information through the laws of quantum mechanics. Quantum entanglement is one of its basic properties, which is instrumental to non-classical correlations between spatially separate particles. New quantum communication networks and quantum computing systems distributed are based on these interrelations. In this paper, quantum information flow dynamics of multi-particle entangled networks with particular emphasis to the processes governing information transmission, redistribution and maintenance of coupled quantum nodes are discussed. The paper discloses the way in which the entangled structures comprising multiple entities can help in facilitating the sharing of information beyond the capabilities of the classical communication systems. Complex entangled structures are analyzed in terms of the channels through which the flow of quantum information is analyzed in respect to the theoretical models of multi-qubit systems and networked quantum channels. The way the communication between the particles influences the coherence, strength of correlation, as well as the stability of the whole network in general, is given particular attention. The effect of environmental noise and decoherence which can cause a break of entanglement and the loss of efficiency in quantum information exchange is also considered in the analysis. Moreover, the article discusses the application of network topology in order to establish the behaviour of entangled systems. The impact of the structural changes on information transfer reliability and speed is determined by the evaluation of the various forms of quantum nodes and connections. These findings suggest that entangled networks structured appropriately will be able to enhance stability of quantum communication and assist in distributing quantum resources more efficiently. Overall, the present research can be deemed as part of the bigger initiative of scaling up quantum communication infrastructures. The research builds knowledge in the sense that it provides an insight into the behavior of information in multi-particle entangled networks with important considerations being made as to the advancement of robust quantum networks which can be used in future to support the realization of future applications in the area of secure communication, distributed computing and the future developments in information processing technologies.

Scriptora International Journal of Research and Innovation (SIJRI)•Feb 5, 2026•0 citations

Certain Properties of a Quantum Information Network Driven by External Fields

毕桥, 方锦清, 邹秦

有 Gaussian 隧道的结构的一个量信息网络被建议。网络拓扑的性质和信息特征被学习。在开车的灾难、指数的外部领域下面，度分发有空间、时间的特征，并且积极或否定的力量索引出现它能影响 theassortativity 系数。这是可能有用的打开一个方法到使用开车为网络介绍期望的性质的不同类型。

Chinese Physics Letters•Jan 1, 2006•0 citations

Certain Properties of a Quantum Information Network Driven by External Fields

Bi Qiao, Fang Jin-Qing, Zou Qin

A quantum information network with the structure of the Gaussian channel is proposed. The network topological property and information characteristic is studied. Under the catastrophic and exponential external field driving, the degree distribution has the spatial and temporal characteristics, and the positive or negative power index appears, which can influence the assortativity coefficient. This is possibly helpful to open a way to using the different type of driving to introduce the expected properties for the network.

Chinese Physics Letters•Jun 28, 2006•5 citations

Quantum Information Networks: Present and Future

Akira Furusawa

There are two aspects of quantum information networks; global networks of classical information with quantum channels and quantum local area networks of quantum information. We are investigating both aspects from the view points of Gaussian and non-Gaussian operations.

Frontiers in Optics•Jan 1, 2005•0 citations

The effect of finite driving rate on avalanche distributions

Sonja Radić, Sanja Janićević, Dragutin Jovković +1 more

Abstract We study distributions of spin avalanches in the three-dimensional nonequilibrium zero temperature random field Ising model driven by external magnetic field that is increased at constant rate. Our results show that avalanche distributions are affected by the driving regime and although the avalanche properties (e.g. size) remain power-law distributed above critical disorder, the scaling exponents vary with the driving rate. For slow driving, the integral distributions of nonspanning avalanches are almost the same as in the adiabatic and quasi-static driving regime and therefore described by constant values of power-law exponents. Owing to temporal overlapping and merging of avalanches, these distributions become markedly different with the increased driving rate which causes an increase of exponent values in the range of moderate driving rates and their saturation for fast driving. The integral distributions of all avalanches behave similarly but without the saturation of exponents for fast driving. Our results, based on extensive numerical simulations, could be relevant for studies of variety of systems in finite driving regime, particularly those with experimental realizations that are not easily attainable.

Journal of Statistical Mechanics Theory and Experiment•Sep 1, 2021•13 citations
We propose a quantum information network with structure of the Gauss channel, and has studied this network topological property and the information characteristic under specific external field driving and different parameter, if introducing catastrophic polynomials, the degree distribution has the spatial and temporal characteristic, and appear the positive or negative exponent of power-law which can influence the assortative coefficient. This is possibly helpful to open a way using the different type of driving to introduce the expected properties for the network.
Quantum information fields are fundamentally different from classical information fields, exhibiting unique properties that enable novel computational paradigms. This paper explores the concept of self-organizing information fields – a theoretical framework that posits the existence of patterns and structures within these fields that drive their dynamic behavior. We investigate the potential of leveraging these self-organizing characteristics to design a quantum algorithm that surpasses current limitations in quantum computation and data transmission. The core mechanism centers around identifying and exploiting specific patterns within these fields to generate highly efficient and rapid data transfer. The investigation begins with a conceptual analysis of self-organization, progresses through a proposed quantum algorithm architecture, and ultimately details the anticipated benefits of this approach. This work seeks to contribute to the advancement of quantum information processing by demonstrating a viable path towards more powerful and versatile quantum technologies.
Quantum information science has altered the concept of the method of processing and transporting information through the laws of quantum mechanics. Quantum entanglement is one of its basic properties, which is instrumental to non-classical correlations between spatially separate particles. New quantum communication networks and quantum computing systems distributed are based on these interrelations. In this paper, quantum information flow dynamics of multi-particle entangled networks with particular emphasis to the processes governing information transmission, redistribution and maintenance of coupled quantum nodes are discussed. The paper discloses the way in which the entangled structures comprising multiple entities can help in facilitating the sharing of information beyond the capabilities of the classical communication systems. Complex entangled structures are analyzed in terms of the channels through which the flow of quantum information is analyzed in respect to the theoretical models of multi-qubit systems and networked quantum channels. The way the communication between the particles influences the coherence, strength of correlation, as well as the stability of the whole network in general, is given particular attention. The effect of environmental noise and decoherence which can cause a break of entanglement and the loss of efficiency in quantum information exchange is also considered in the analysis. Moreover, the article discusses the application of network topology in order to establish the behaviour of entangled systems. The impact of the structural changes on information transfer reliability and speed is determined by the evaluation of the various forms of quantum nodes and connections. These findings suggest that entangled networks structured appropriately will be able to enhance stability of quantum communication and assist in distributing quantum resources more efficiently. Overall, the present research can be deemed as part of the bigger initiative of scaling up quantum communication infrastructures. The research builds knowledge in the sense that it provides an insight into the behavior of information in multi-particle entangled networks with important considerations being made as to the advancement of robust quantum networks which can be used in future to support the realization of future applications in the area of secure communication, distributed computing and the future developments in information processing technologies.
A quantum information network with the structure of the Gaussian channel is proposed. The network topological property and information characteristic is studied. Under the catastrophic and exponential external field driving, the degree distribution has the spatial and temporal characteristics, and the positive or negative power index appears, which can influence the assortativity coefficient. This is possibly helpful to open a way to using the different type of driving to introduce the expected properties for the network.
Abstract We study distributions of spin avalanches in the three-dimensional nonequilibrium zero temperature random field Ising model driven by external magnetic field that is increased at constant rate. Our results show that avalanche distributions are affected by the driving regime and although the avalanche properties (e.g. size) remain power-law distributed above critical disorder, the scaling exponents vary with the driving rate. For slow driving, the integral distributions of nonspanning avalanches are almost the same as in the adiabatic and quasi-static driving regime and therefore described by constant values of power-law exponents. Owing to temporal overlapping and merging of avalanches, these distributions become markedly different with the increased driving rate which causes an increase of exponent values in the range of moderate driving rates and their saturation for fast driving. The integral distributions of all avalanches behave similarly but without the saturation of exponents for fast driving. Our results, based on extensive numerical simulations, could be relevant for studies of variety of systems in finite driving regime, particularly those with experimental realizations that are not easily attainable.