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.

非技术摘要该教师早期职业发展（职业）奖支持理论凝聚态思想的发展和整合到动态量子相中，以进行创新研究、推广和受过教育、具有批判性思维的量子劳动力。控制物质的量子相是量子信息科学和量子凝聚态物理中的重要理论和实践问题。即使在经典物理学中，随着系统动态变化，引导系统进入特定阶段也是一个复杂且具有挑战性的问题。以天气为例。天气的混乱动态意味着它变得本质上不可预测（大约 14 天后）。然而，如果通过一些伟大的全球工程，人们可以对地球进行轻微的改变，那么人们可能希望控制天气。虽然这在如此大的尺度上是不切实际的，但这种对混沌的理论控制会导致物理系统要么受控要么不受控制（即混沌）的尖锐阶段。在他最近的研究中，PI 首次发现了类似的量子系统承载着量子信息的动态相位的线索，但还有更广阔的领域需要探索。这种联系揭示的新概念是，基于物理系统收集的信息的反馈可以控制量子相位并将其引导到所需的状态。这使得实验能够立即见证这些阶段，并且它开启了我们可以选择有趣的状态来控制的前景，这可以帮助我们解决凝聚态物质和量子信息科学中的其他问题。在这个项目中，PI和他的团队将开发和应用新的算法，利用高性能计算资源和人工智能方法来发现新的动态量子相，并将混沌系统控制到特定的、期望的物质状态。所支持的教育和外展活动该奖项包括（i）创建一个关于量子科学的播客系列并在主要播客平台上发布，（ii）开发量子信息和凝聚态物质交叉点的开源课程，旨在向学生传授量子科学知识目前正在使用的技术工业，以及（iii）与鄂尔多斯研究所合作，为研究生带来工业职业发展机会。技术摘要该职业奖支持旨在将凝聚态理论思想融入动态量子阶段的研究和教育活动，以进行创新研究、推广和推广建立具有批判性思维的量子劳动力的想法。 PI 将利用反馈来发现新的动态量子相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、单一动力学和反馈），该模型具有到系统特定状态的受控相变，以及（2）了解现有的动态相变并建立一个具有规定反馈和机器学习的控制形式。 PI 和他的团队将开发新算法，利用高性能计算资源，并对量化经典模型、随机量子电路和哈伯德模型等哈伯德模型的量子模拟中的这些转变产生理论理解。目标是了解动态、遍历、量子相，在量子控制理论的背景下将理论凝聚态物质与量子信息科学结合起来。该奖项支持的教育和推广活动包括 (i) 创建一个关于量子科学的播客系列并发布它在主要播客平台上，（ii）开发量子信息和凝聚态交叉点的开源课程，旨在向学生传授目前工业中使用的量子技术，以及（iii）与鄂尔多斯学院为研究生带来工业职业发展机会。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响评审标准进行评估，被认为值得支持。