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Quantum Information Theory

Quantum Information Theory
量子信息论
批准号:
0203211
负责人:
Mary Beth Ruskai
金额:
$14.7万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-07-01 至 2003-02-28

项目摘要

项目成果

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中文摘要
翻译
PI: Mary Beth Ruskai, University of Massachusetts lowelldms -0203211摘要:***************************************************************本项目涉及使用量子粒子处理和/或传输信息时出现的一些数学问题。P.I.计划继续分析和改进噪声模型;这在量子通信和量子计算中的误差分析中都很重要。量子通信领域的工作包括解决纠缠输入是否能增强量子信道传输经典信息的能力这一长期存在的问题。私家侦探还计划构建新的纠错代码类别,作为代码的原型,这些代码可以设计用于处理量子计算的特定实现最容易受到的错误。这样的代码可以与其他技术相结合,以减少总代码长度。P.I.还将考虑随机哈密顿方法来分析绝热量子计算方案的效率。最后,P.I.计划继续研究信息几何中的度量,以及它们与纯度、相对熵和状态间距离度量的联系。现在已经确定,量子粒子有可能为更强大的计算机和安全通信的新方法提供基础。尽管建造量子计算机仍然是一项艰巨的实验挑战,但量子通信和加密的几种方法的可行性已经得到了令人信服的证明。然而,同样清楚的是,所有实际的仪器都是不完美的,并且会受到噪声和误差的影响。这并不奇怪;长期以来,噪声处理一直是古典通信的一个重要方面。然而,量子信息设备受到噪声引起的更大、更复杂的各种误差的影响。这就产生了新的数学挑战。这个建议涉及其中的一些问题。处理噪声的有效方法对于国家成功利用量子理论的力量来开发下一代计算机和加密协议至关重要。***************************************************************--
英文摘要
PI: Mary Beth Ruskai, University of Massachusetts LowellDMS-0203211Abstract: ***************************************************************This project is concerned with a number of mathematical problemswhich arise when quantum particles are used to process and/ortransmit information. The P.I. plans to continue the analysis and refinement of models of noise; these are important in bothquantum communication and error analysis in quantum computation. Work in quantum communication includes a proposal which may resolvethe long-standing question of whether or not entangled inputs canenhance the capacity of quantum channels to transmit classicalinformation. The P.I. also plans to construct new classes of errorcorrecting codes as prototypes for codes which can be designed to deal with those errors to which a particular implementation of quantum computation is most vulnerable. Such codes couldbe combined with other techniques to reduced the overall codelength. The P.I. will also consider a random Hamiltonianapproach to the analysis of the efficiency of a proposed schemefor adiabatic quantum computation. Finally, the P.I. plans tocontinue the study of metrics in information geometry, and theirconnection to measures of purity, relative entropy, and distancesbetween states.It has now been established that quantum particles have the potentialto provide the basis for vastly more powerful computers, and new methodsof secure communication. Although building quantum computers remainsa formidable experimental challenge, the feasibility of several methodsof quantum communication and encryption have already been convincinglydemonstrated. However, it is also clear that all practical instrumentation is imperfect and subject to noise and errors.This is not surprising; dealing with noise has long been an importantfacet of classical communication. However, quantum information devicesare subject to a much larger and more complex variety of errors arisingfrom noise. This gives rise to new mathematical challenges. Thisproposal deals with a number of these questions. Effective methodsof dealing with noise are essential to the success of the nation'sability to exploit the power of quantum theory for next generation ofcomputers and cryptographic protocols. ***************************************************************--
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Quantum Information Theory
  • 批准号:
    1018401
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.03万
  • 财政年份:
    2010
  • 负责人:
    Mary Beth Ruskai
  • 依托单位:
Support for US participation in Nordita/Mittag-Leffler conference and programs on quantum information
  • 批准号:
    1015193
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.5万
  • 财政年份:
    2010
  • 负责人:
    Mary Beth Ruskai
  • 依托单位:
Quantum Information Theory
  • 批准号:
    0604900
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $10.2万
  • 财政年份:
    2006
  • 负责人:
    Mary Beth Ruskai
  • 依托单位:
Quantum Information Theory
  • 批准号:
    0314228
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2003
  • 负责人:
    Mary Beth Ruskai
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
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