Virtual reality(VR)medical education resources are widely used in theoretical teaching and clinical skill training,but they are still in the primary stage.VR medical education resources have higher requirements for the compatibility of resource management platforms,greater difficulties and costs in resource construction,and stronger demand for copyright protection,but there is still a lack of effective VR medical resource management platforms and operating mechanisms to mobilize the enthusiasm of all participants in resource construction and application.For the key problems in VR medical education resource management,this article proposes a cloud VR medical education resource management framework based on blockchain and cloud VR technology,specifically designs the function of each module,elaborates on its operation and management mechanisms,and analyzes the effect of such framework,so as to improve the efficiency of cloud VR medical education resource management and promote the construction and shared application of cloud VR medical education resources.
We derive explicit process matrices (effective logical channels) for five-qubit code under any unital error channel imposed on each physical qubit of the code, which would enable us to gain a lot of insight about the performance of the code. To our best knowledge, this is the first explicit effective logical channel that has been derived for a quantum correction code under a broad class of noise models. The process matrix allows us to rigorously prove that the concatenated code with a symmetric decoder can take an open set of any type error channels to the identity channel. This result extends the theorem that is confined to an open set of diagonal error channels proved by previous authors. For some commonly considered coherent error models, using the process matrices, we conduct precise analysis of the code’s performances in terms of average gate infidelity and diamond distance measures for both the physical error channels and the resulting effective logical channels after error correction. These outcomes sharpen the related results shown in recent publications. Finally, we show that an optimal (non-symmetric) decoder of the code achieves substantially improved performance of error correction against a specified noise model, but it no longer corrects an open set of general errors. The results confirm some findings of previous authors who arrived at similar conclusions through different approaches.
云化虚拟现实融合了高速网络、蜂窝移动通信、边缘计算等技术,具备云网端一体融合的特点,是虚拟现实技术发展的新阶段.介绍了云化虚拟现实技术的特点及其部署所需的支撑环境架构,阐述了其在智慧教学环境中的应用场景,提出该技术可发挥智慧教学环境中虚拟现实技术的应用效益,为医学信息化教学改革与发展提供有力支撑,是未来智慧医学教育发展的新方向.
未来战争的突发性、多元性、复杂性和残酷性对卫勤保障提出新的要求.为应对未来智能化战争挑战,研究基于人工智能、大数据、云计算等新信息技术,提出卫勤云概念和架构,构建以卫勤云为核心的海上卫勤保障云生态模式,以期为海军卫勤指挥、伤员救治、战斗力评估和资源调度提供高效、可靠、安全、便捷的信息化保障平台.提升海上卫勤保障数据共享共用的能力,跨系统整合卫勤应用服务,为海上卫勤组织指挥以及相关业务提供数据支撑,提高卫勤数据集约化、标准化建设效能.
受多重因素影响,当前VR技术在高校课堂教学中的应用尚处于初级阶段,以个别示范和简单体验为主,对课堂教学的支撑作用发挥不明显.提出一种云VR在高校课堂教学中的部署应用框架,对各模块的功能作用进行细化阐述,对具体的应用部署方式进行分析设计,以期为解决VR技术在高校课堂教学中的困境问题提供新思路.
针对医科院校智慧校园建设面临的瓶颈,提出智慧校园建设框架,给出数据管理枢纽、应用建设模式、虚实融合空间和信息安全平台的具体设计,描述远程教育体系、医疗卫生体系和科研转化体系的重点建设内容,以期形成医科院校信息化大生态.
世界新军事变革的不断深入,对战(现)场伤员快速搜救提出更高要求.现阶段,我国整体的战(现)场伤员搜救信息力与实用化的要求还存在一定差距,严重制约我国战(现)场伤员搜救效率和成功率的提升.研究围绕战(现)场伤员智能感知的分布式移动云平台的构建,提出云平台的总体架构,设计云平台的应用部署方式、数据汇聚方式和服务访问方式,并给出云平台效能特点分析,以有效提升战(现)场伤员搜救的信息力,提高战(现)场伤员搜救的成功率.
文职人员作为军队建设的重要组成部分,教员作为军事教育战线上的重要力量,自然离不开职业发展的一般规律.目前,文职教员职业发展重视不够、发展目标不清、发展动力不足、队伍发展断层,在保、训、管、育等方面仍然有一些矛盾没有解决.该文通过分析文职教员职业发展存在的现实问题,切实通过SWOT分析法对文职教员职业发展提出相应的对策与建议.
随着2017年9月最新修订的《中国人民解放军文职人员条例》以及一系列配套法规和政策的陆续颁布,搭建起军队文职人员政策制度体系的"四梁八柱".打造高素质新型文职人员人才方阵,统筹规划科学搞好文职人员的队伍建设,尤其是在军队医院中,文职人员队伍是一支重要力量,厘清文职人员岗位能力素质需求,确保队伍建设发展合理,是目前亟待解决的实际问题.通过分析军队医院的文职人员工作岗位特点,结合具体工作实践,总结归纳这些岗位具有的身份特殊性、专业技术性、发展全面性等鲜明特点,将军队医院文职人员岗位能力素质需求分为外显特质需求和潜在特质需求两个方面分别进行阐述.
As a hot issue of national and social concern, campus security construction in colleges and universities has some problems such as insufficient information perception and control, as well as insufficient ability of data collection, analysis and sharing, which is difficult to meet the needs of campus security management in the new era. Based on the internet of things technology, comprehensive use of cloud computing, big data and artificial intelligence technologies, we propose a campus intelligent security system framework, then, design the main application functions are specifically, and finally, analyze the typical application scenarios and construction effects. Our campus intelligent security system framework has the characteristics of multi-dimensional perception, heterogeneous interconnection, intelligent and efficient, comprehensive control, centralized presentation and cloud management, which can provide a safe and convenient environment for teachers and students, provide overall situation display and auxiliary decision support for university administrators, and provide comprehensive platform support for campus security management.
在信息化浪潮席卷全球的大背景下,信息化教学模式改革也迎来新高潮,业界对构建能够激活课堂互动、引入课外资源、拓展课堂时空的新型教学环境的需求日益强烈.为构建一体化、智能化的新型教学环境,适应探索实践新的教学理念和方法需求,推动信息化教学模式的深度变革,文章基于"SMART"概念模型,紧跟教育发展趋势,聚焦信息化教改需求,吸收先进教学理念,应用前沿信息技术,综合医科院校特点,提出智慧教室"SCENA"概念模型,并结合学校智慧教室建设的实践探索,给出具体可实施的建设建议,并综合分析了"SCENA"模型智慧教室的建设效果.
We analyze the probability distributions of the quantum walks induced from Markov chains by Szegedy (2004). The first part of this paper is devoted to the quantum walks induced from finite state Markov chains. It is shown that the probability distribution on the states of the underlying Markov chain is always convergent in the Cesaro sense. In particular, we deduce that the limiting distribution is uniform if the transition matrix is symmetric. In the case of a non-symmetric Markov chain, we exemplify that the limiting distribution of the quantum walk is not necessarily identical with the stationary distribution of the underlying irreducible Markov chain. The Szegedy scheme can be extended to infinite state Markov chains (random walks). In the second part, we formulate the quantum walk induced from a lazy random walk on the line. We then obtain the weak limit of the quantum walk. It is noted that the current quantum walk appears to spread faster than its counterpart-quantum walk on the line driven by the Grover coin discussed in literature. The paper closes with an outlook on possible future directions.
We use representation theory of groups to classify coin operators of different quantum walks and provide an unified framework. We formulate quantum walks on Plancherel decompositions that are guaranteed by Peter-Weyl theorem for compact groups satisfying axiom of second countability. We build a quantum probability space and derive standard quantum walks such as Hadamard walk, Pauli operators based quantum Bernoulli processes, and walks on angular momentum space within this framework. We also outline their asymptotic behavior for different initial states using functional central limit theorems on Fock spaces, toy for time-discrete and true for time-continuous walks respectively, in terms of conjugate Brownian motions and Poisson processes. A step of the walker described in terms of annihilation and creation operators on Fock spaces provides insights into the relation between discrete and continuous time quantum walks.
Continuous-time open quantum walks (CTOQW) are introduced as the formulation of quantum dynamical semigroups of trace-preserving and completely positive linear maps (or quantum Markov semigroups) on graphs. We show that a CTOQW always converges to a steady state regardless of the initial state when a graph is connected. When the graph is both connected and regular, it is shown that the steady state is the maximally mixed state. The difference of long-time behaviors between CTOQW and other two continuous-time processes on graphs is exemplified. The examples demonstrate that the structure of a graph can affect a quantum coherence effect on CTOQW through a long time run. Precisely, a quantum coherence effect persists throughout the evolution of the CTOQW when the underlying topology is certain irregular graphs (such as a path or a star as shown in the examples). In contrast, a quantum coherence effect will eventually vanish from the open quantum system when the underlying topology is a regular graph (such as a cycle).
Continuous-time open quantum walks (CTOQW) are introduced as the formulation of quantum dynamical semigroups of trace-preserving and completely positive linear maps (or quantum Markov semigroups) on graphs. We show that a CTOQW always converges to a steady state regardless of the initial state when a graph is connected. When the graph is both connected and regular, it is shown that the steady state is the maximally mixed state. As shown by the examples in this article, the steady states of CTOQW can be very unusual and complicated even though the underlying graphs are simple. The examples demonstrate that the structure of a graph can affect quantum coherence in CTOQW through a long-time run. Precisely, the quantum coherence persists throughout the evolution of the CTOQW when the underlying topology is certain irregular graphs (such as a path or a star as shown in the examples). In contrast, the quantum coherence will eventually vanish from the open quantum system when the underlying topology is a regular graph (such as a cycle).
Informatization which is a trend of the times, has overall rise in the field of medical education, and because of the characteristics of medical education, the informatization of medical academics has its particularity. This article investigated the problems of the information technology construction in medical university, proposed a solution to solve the problem, constructed a digital campus vision system, and designed a fully functional information technology environment platform. This article provided a comprehensive educational program feasibility to promote the informatization reform process.
When confined to a topological environment consisting of a cycle coupled with a half-line, quantum walks exhibit long-term statistical tendencies which differ dramatically from the tendencies of classical random walks in the same environment. In particular, as suggested by numerical simulations, the probability distribution of the walker's position resolves, in part, into a non-vanishing distribution on the cycle and, in part, into a ballistic distribution on the half-line. By contrast, for a classical random walk, the probability distribution of the walker's position tends always to vanish on the cycle and to migrate completely to the half-line as a purely diffusive process.
We consider unitary conjugation channels with continuous random phases. The spectral properties of the channel average are examined, thereby the asymptotic behaviors of the repeated quantum interactions of the motion are derived. We then study the channels with uniformly distributed continuous phases on an interval. In this context, it is shown that discrete phases are sufficient to achieve the channel average.
A new approach to quantum walks is presented. Considering a quantum system undergoing some unitary discrete-time evolution in a directed graph G, we think of the vertices of G as sites that are occupied by the quantum system, whose internal state is described by density operators. To formulate the unitary evolution, we define reflections in the tensor product of an internal Hilbert space and a spatial Hilbert space. We then construct unitary channels that govern the evolution of the system in the graph. The discrete dynamics of the system (called quantum walks) is obtained by iterating the unitary channel on the density operator of the quantum system. It turns out that in this framework, the action of the unitary channel on a density operator is described by the usual matrix multiplication.
We present an idea to convert to a unitary quantum walk any open quantum walk which is defined on lattices as well as on finite graphs. This approach generalizes to the domain of open quantum walks (or quantum Markov chains) the framework introduced by Szegedy for quantizing Markov chains. For the unitary quantum walks formulated in this article, we define the probability and the mean probability of finding the walk at a node, then derive the asymptotic mean probability.