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: The Australian National University
• 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
• 起止时间: 2023-06-30 至 2027-06-29
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT220100656
• 关键词: Control; learning; enhancing; capabilities; quantum

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.

该项目旨在开发新的理论和算法，以从系统和控制的角度增强工程量子传感器的能力。该项目之所以重要，是因为预计它将提高关键知识并提供系统的方法，以实现用于广泛应用的高精度感测，例如早期疾病检测，医学研究，发现矿石沉积物和地下水监测。预期的结果是基本理论，有效的控制和学习算法，用于实现高度敏感的传感器。这些结果应为澳大利亚的感应行业做出重要的贡献，并为澳大利亚的经济增长带来新的知识和技能。