ExpandQISE: Track 1: Analog quantum simulation of non-Markovian dynamics of multi-qubit systems
ExpandQISE: Track 1: Analog quantum simulation of non-Markovian dynamics of multi-qubit systems
批准号:
2328948
负责人:
Yusui Chen
金额:
$65.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30
中文摘要
非技术摘要:多量子比特系统用于各种量子技术,包括量子通信、量子传感、量子密码学和量子模拟。由于任何量子系统都不能完全与环境隔离,因此引入开放量子系统来模拟量子系统的演化,同时考虑量子系统与环境之间的相互作用。根据这种相互作用的强度和类型,有两种类型的开放量子系统动力学-马尔可夫和非马尔可夫,其中非马尔可夫动力学更准确。在本研究中,项目组将推进和促进多量子比特系统非马尔可夫动力学的模拟量子模拟研究。此外,这项研究将实施一个投资和奖励反馈循环,以激励K-12学生,吸引,留住和教育本科生,女性和代表性不足的少数民族学生,让他们接触到这种量子相关的研究。此外,该项目通过加强现有课程和创建新课程来扩大和加强当前本科阶段的量子物理课程。技术摘要:了解量子系统与其周围环境的动力学对于充分利用量子信息处理任务的潜力至关重要。然而,对开放量子系统的非马尔可夫动力学建模面临着两个巨大的挑战:(i)目前的努力使用修改的马尔可夫主方程来描述非马尔可夫动力学,这可能是不准确的。(ii)缺乏一个系统的方法来获得近似的保正主方程(PPME)限制了目前的技术在实践中的能力。该研究旨在开发模拟量子算法,以研究基于量子状态扩散(QSD)方程方法的多量子比特系统的非马尔可夫动力学。特别是,这项研究:(i)利用QSD方法获得非马尔可夫主方程的广义形式;(ii)优化和生成PPME并应用近似;(iii)开发一种系统方法来导出复杂相互作用的Kraus算子;(iv)设计了一种基于蒙特-卡罗的量子模拟算法,该项目由多学科活动办公室(MPS/OMA)、计算和通信基金会(CCF)司,技术前沿计划(TIP/TF)该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查进行评估,被认为值得支持的搜索.
英文摘要
Non-technical Abstract: A multi-qubit system is used in various quantum technologies, including quantum communication, quantum sensing, quantum cryptography, and quantum simulation. Since any quantum system cannot be fully isolated from the environment, open quantum systems are introduced to model the evolution of a quantum system while considering the interactions between the quantum system and the environment. Depending on the strength and the type of this interaction, there are two types of open quantum systems dynamics - Markovian and non-Markovian, where the non-Markovian dynamics are more accurate. In this research, the project team will advance and promote the research on analog quantum simulation of non-Markovian dynamics of multi-qubit systems. In addition, this research will implement an investment and reward feedback loop for inspiring K-12 students and attracting, retaining, and educating undergraduate, female, and underrepresented minority students by exposing them to this quantum-related research. Further, this project broadens and strengthens the current quantum physics curriculum at the undergraduate level by enhancing existing courses and creating new ones.Technical Abstract: Understanding the dynamics of a quantum system in connection with its surrounding environment is crucial for harnessing the full potential of quantum information processing tasks. However, modeling the non-Markovian dynamics of open quantum systems faces two grand challenges: (i) current efforts use a modified Markovian master equation to describe the non-Markovian dynamics, which could be inaccurate. (ii) The lack of a systematic method for obtaining approximated positivity-preserving master equations (PPME) limits the capability of current techniques in practice. The research aims to develop analog quantum algorithms to study the non-Markovian dynamics of multi-qubit systems built on the quantum-state-diffusion (QSD) equation approach. Particularly, this research: (i) leverages the QSD approach to obtaining the generalized formalism of the non-Markovian master equation; (ii) optimizes and generates PPME with approximations applied; (iii) develops a systematic method to derive Kraus operators for complicated interactions; (iv) devises a Monte-Carlo-based quantum simulation algorithm initiated from the stochastic quantum trajectories, instead of the density matrix.This project is jointly funded by the Office of Multidisciplinary Activities (MPS/OMA), Computing and Communications Foundations (CCF) Division, and the Technology Frontiers Program (TIP/TF).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.
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