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Quantum algorithms and complexity theory

Quantum algorithms and complexity theory
量子算法和复杂性理论
批准号:
105393-2007
负责人:
Cleve, Richard
金额:
$3.28万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2008
资助国家:
加拿大
项目状态:
已结题
起止时间:
2008-01-01 至 2009-12-31

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中文摘要
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英文摘要
The objective is to investigate the power of information processing devices that utilize the behavior of quantum mechanical systems. For example, to discover new algorithms in this framework, establish limits on the computational power of these devices, discover novel ways of communicating, or exploiting the power of quantum systems that are correlated in a quantum mechanical sense ("entangled"). The overall scientific approach is to use the mathematical framework of "quantum information" and investigate a number of research directions that extend current approaches in novel directions. The significance of the work is in its potential to lead to actual quantum information processing devices that outperform existing devices in various respects, or possibly to discover fundamental reasons why they cannot be realized.
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Complexity of quantum processes
  • 批准号:
    RGPIN-2018-04184
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.99万
  • 财政年份:
    2022
  • 负责人:
    Cleve, Richard
  • 依托单位:
Complexity of quantum processes
  • 批准号:
    RGPIN-2018-04184
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    Cleve, Richard
  • 依托单位:
Complexity of quantum processes
  • 批准号:
    RGPIN-2018-04184
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2020
  • 负责人:
    Cleve, Richard
  • 依托单位:
Complexity of quantum processes
  • 批准号:
    RGPIN-2018-04184
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2019
  • 负责人:
    Cleve, Richard
  • 依托单位:
国内基金
海外基金
固定参数可解算法在平面图问题的应用以及和整数线性规划的关系
  • 批准号:
    60973026
  • 项目类别:
    面上项目
  • 资助金额:
    32.0万元
  • 批准年份:
    2009
  • 负责人:
    鲁道夫
  • 依托单位:
Computational Methods for Analyzing Toponome Data