CAREER: Active Feedback to Control Dynamic Quantum Phases

职业：主动反馈控制动态量子相

• 批准号: 2238895
• 负责人: Justin Wilson
• 金额: $ 50.53万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238895&HistoricalAwards=false
• 关键词: CAREER; Active; Feedback; Control; Dynamic

NONTECHNICAL SUMMARYThis Faculty Early Career Development (CAREER) award supports the development and integration of theoretical condensed matter ideas into dynamic quantum phases for innovative research, outreach, and an educated, critical-thinking quantum workforce. Controlling quantum phases of matter is an important theoretical and practical problem in quantum information science and quantum condensed matter physics. Even in classical physics, steering a system, as it dynamically changes, into a particular phase is a complicated and challenging problem. Take, for example, the weather as a classical example. The chaotic dynamics of weather means that it becomes inherently unpredictable (after roughly 14 days). However, if, through some great feet of global engineering, one could make slight modifications to the planet, then one might hope to control the weather. While this is impractical on such large scales, such theoretical control of chaos leads to sharp phases where the physical system is either controlled or uncontrolled (i.e., chaotic). In his recent studies, the PI has found the first hints that the analogous quantum systems host dynamic phases of quantum information, but there is a wide frontier to explore. The new concept that this connection reveals is that feedback based on information gathered about a physical system can control the quantum phase and steer it into a desired state. This allows experiments to immediately witness the phases, and it opens the prospect that we can choose interesting states to control that could help us solve other problems in condensed matter and quantum information sciences. In this project, the PI and his team will develop and apply new algorithms, employ high-performance computing resources and artificial intelligence methods to uncover new dynamic quantum phases and control chaotic systems onto specific, desired states of matter.The education and outreach activities supported by this award include (i) creating a podcast series on quantum science and releasing it on major podcasting platforms, (ii) the development of an open-source course at the intersection of quantum information and condensed matter, aimed at teaching students about the quantum technologies currently being used in industry, and (iii) working with the Erdos institute to bring industrial career development opportunities to graduate students.TECHNICAL SUMMARYThis CAREER award supports research and education activities that are aimed at integrating theoretical condensed matter ideas into dynamic quantum phases for innovative research, outreach, and ideas to build a critical-thinking quantum workforce. The PI will use feedback to uncover new dynamic quantum phases and control chaotic systems onto specific states. The specific objectives of this proposal are to (1) develop hybrid dynamic models (with measurements, unitary dynamics, and feedback) that have a controlled phase transition onto specific states of the system and (2) learn about existing dynamical phase transitions and institute a form of control with prescribed feedback and machine learning. The PI and his team will develop new algorithms, employ high-performance computing resources, and develop a theoretical understanding of these transitions in quantized classical models, random quantum circuits, and quantum simulation of Hamiltonians such as the one-dimensional Hubbard model. The goal is to understand dynamic, ergodic, quantum phases, uniting theoretical condensed matter with quantum information sciences in the context of quantum control theory.The education and outreach activities supported by this award include (i) creating a podcast series on quantum science and releasing it on major podcasting platforms, (ii) the development of an open-source course at the intersection of quantum information and condensed matter, aimed at teaching students about the quantum technologies currently being used in industry, and (iii) working with the Erdos institute to bring industrial career development opportunities to graduate students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

非技术总结早期职业发展（职业）奖，支持理论上凝结的物质思想的发展和整合到动态的量子阶段，用于创新研究，外展和受过教育的，受过批判性思维的量子劳动力。控制物质的量子阶段是量子信息科学和量子冷凝物理物理学中的重要理论和实际问题。即使在古典物理学中，随着系统的动态变化，将系统转向特定阶段也是一个复杂而挑战性的问题。以天气为一个经典的例子。天气的混乱动态意味着它本质上变得不可预测（大约14天后）。但是，如果通过全球工程的一些脚步，可以对地球进行轻微的修改，那么人们可能希望控制天气。尽管这在如此大的尺度上是不切实际的，但这种对混乱的理论控制导致了急剧的阶段，即物理系统受到控制或不受控制（即混乱）。在他最近的研究中，PI发现了第一个暗示，类似的量子系统具有量子信息的动态阶段，但是有一个广泛的边界可以探索。该连接揭示的新概念是，基于收集的有关物理系统的信息的反馈可以控制量子阶段并将其转向所需的状态。这使实验可以立即见证这些阶段，并打开了我们可以选择有趣的州来控制的前景，以帮助我们解决凝结物质和量子信息科学方面的其他问题。 In this project, the PI and his team will develop and apply new algorithms, employ high-performance computing resources and artificial intelligence methods to uncover new dynamic quantum phases and control chaotic systems onto specific, desired states of matter.The education and outreach activities supported by this award include (i) creating a podcast series on quantum science and releasing it on major podcasting platforms, (ii) the development of an open-source course at the intersection量子信息和凝结物质，旨在向学生传授目前在行业中使用的量子技术，以及（iii）与Erdos研究所合作，为研究生带来工业职业发展机会。技术摘要支持研究和教育活动，旨在将理论上的量子量化量化为量子量的量子阶段，以构建量子量的研究，并构建量子研究，以实现量身定性研究，并建立一个思想，并构建一个思想，并构建A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A SA组相结合。 PI将使用反馈来发现新的动态量子阶段，并将混沌系统控制到特定状态。该提案的具体目标是（1）开发混合动态模型（具有测量，单位动力学和反馈），这些模型在系统的特定状态上具有受控的相转换，以及（2）了解现有的动态相变，并通过规定的反馈和机器学习来建立一种控制形式。 PI和他的团队将开发新的算法，采用高性能计算资源，并在量化的经典模型，随机量子电路以及对汉密尔顿人（例如一维Hubbard模型）中对这些过渡的理论理解。目的是了解动态，崇高的量子阶段，在量子控制理论的背景下将理论上的凝结物与量子信息科学团结起来。该奖项支持的教育和外展活动包括（i）在量子科学上创建播客系列，并在主要播客平台上发布量子科学的播客系列，并将其在主要播客平台上进行量级的限制，（ii）跨个性信息的开发，（ii）跨度的量化，（ii）互动的开发信息，（ii）跨度的范围，（ii）目前在行业中使用的技术，（iii）与ERDOS研究所合作，为研究生带来工业职业发展机会。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估的评估来支持的。