CAREER: New Frontiers in Continuous-time Open Quantum Systems

职业：连续时间开放量子系统的新领域

• 批准号: 2238766
• 负责人: Chunhao Wang
• 金额: $ 64.36万
• 依托单位: Pennsylvania State Univ University Park
• 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: 2023-02-15 至 2028-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238766&HistoricalAwards=false
• 关键词: CAREER; New; Frontiers; Continuous; time

The dynamics of quantum systems in continuous time are ubiquitous in quantum physics, quantum chemistry, quantum biology, and quantum information science. In these fields, all realistic quantum systems are coupled to an uncontrollable environment in a non-negligible way. Thesesystems are known as open quantum systems. However, the majority of studies of quantum systems have focused on an idealized model where the systems are isolated from the environment, referred to as closed quantum systems. A significant challenge remains in studying these realistic open quantum systems from a computational perspective, as existing technical tools and models are primarily designed for closed systems. To address this challenge, this project will develop novel mathematical frameworks and quantum computing techniques to model, analyze, and characterize the behavior of open quantum systems.This project will advance the study of continuous-time open quantum systems in several important directions, including simulating their dynamics, harnessing their computational powers, and characterizing their computational capabilities. The overarching goal is to establish the computational and mathematical treatments of such systems to push the study of quantum computation far beyond the Hamiltonian regime for broader applications. Specific goals of this project include: developing novel techniques for simulating open quantum systems; discovering further algorithmic applications of continuous-time open quantum systems; identifying the physical implications of evolving open quantum systems; and characterizing the computational capabilities of open quantum systems.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.

连续时间内量子系统的动力学在量子物理学、量子化学、量子生物学和量子信息科学中无处不在。在这些领域中，所有现实的量子系统都以不可忽视的方式耦合到不可控的环境。这些系统被称为开放量子系统。然而，大多数量子系统的研究都集中在系统与环境隔离的理想化模型上，称为封闭量子系统。从计算角度研究这些现实的开放量子系统仍然存在重大挑战，因为现有的技术工具和模型主要是为封闭系统设计的。为了应对这一挑战，该项目将开发新颖的数学框架和量子计算技术来建模、分析和表征开放量子系统的行为。该项目将在几个重要方向上推进连续时间开放量子系统的研究，包括模拟他们的动态，利用他们的计算能力，并表征他们的计算能力。总体目标是建立此类系统的计算和数学处理方法，以推动量子计算的研究远远超出哈密顿体系，获得更广泛的应用。该项目的具体目标包括：开发模拟开放量子系统的新技术； 发现连续时间开放量子系统的进一步算法应用； 确定不断发展的开放量子系统的物理含义；该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Efficient Quantum Algorithms for Quantum Optimal Control

用于量子最优控制的高效量子算法

• 发表时间: 2023-07
• 期刊: Proceedings of the 40th International Conference on Machine Learning
• 作者: Li, Xiantao;Wang, Chunhao
• 通讯作者: Wang, Chunhao

Efficient Quantum Algorithms for Quantum Optimal Control

用于量子最优控制的高效量子算法

• DOI: 10.48550/arxiv.2304.02613
• 发表时间: 2023-04-05
• 期刊: Small
• 影响因子: 13.3
• 作者: Xiantao Li;C. Wang
• 通讯作者: C. Wang

Thermal State Preparation via Rounding Promises

通过舍入承诺进行热状态准备

• DOI: 10.22331/q-2023-10-10-1132
• 发表时间: 2023-10
• 期刊: Quantum
• 影响因子: 6.4
• 作者: Rall, Patrick;Wang, Chunhao;Wocjan, Pawel
• 通讯作者: Wocjan, Pawel

Simulating Markovian Open Quantum Systems Using Higher-Order Series Expansion

使用高阶级数展开模拟马尔可夫开放量子系统

• DOI: 10.4230/lipics.icalp.2023.87
• 发表时间: 2023-01
• 期刊: and Programming (ICALP 2023
• 作者: Li, Xiantao;Wang, Chunhao
• 通讯作者: Wang, Chunhao