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Control and learning for enhancing capabilities of quantum sensors

Control and learning for enhancing capabilities of quantum sensors
用于增强量子传感器能力的控制和学习
批准号:
FT220100656
负责人:
Prof Daoyi Dong
金额:
$67.88万
依托单位国家:
澳大利亚
项目类别:
ARC Future Fellowships
财政年份:
2023
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2023-06-30 至 2027-06-29

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中文摘要
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英文摘要
This project aims to develop new theories and algorithms to enhance capabilities in engineering quantum sensors from the perspective of systems and control. The project is significant because it is anticipated to advance key knowledge and provide systematic methods to enable achievement of high-precision sensing for wide applications, e.g., early disease detection, medical research, discovery of ore deposits and groundwater monitoring. The intended outcomes are fundamental theories, effective control and learning algorithms for achieving highly-sensitive sensors. These outcomes should make important contributions to and deliver new knowledge and skills for Australia's sensing industries, which could benefit Australia's economic growth.
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会议论文
Efficient and high-precision system identification in quantum cybernetics
  • 批准号:
    DP190101566
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $28.66万
  • 财政年份:
    2019
  • 负责人:
    Prof Daoyi Dong
  • 依托单位:
Enhancing control capabilities and robustness in the engineering of quantum ensembles
  • 批准号:
    DP130101658
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $22.39万
  • 财政年份:
    2013
  • 负责人:
    Prof Daoyi Dong
  • 依托单位:
Enhancing Performance in Controlling Finite Level Quantum Systems with Uncertainties
  • 批准号:
    DP1095540
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $17.42万
  • 财政年份:
    2010
  • 负责人:
    Prof Daoyi Dong
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: