Collaborative Research: PPoSS: Planning: Software Stack for Scalable Heterogeneous NISQ Cluster

协作研究：PPoSS：规划：可扩展异构 NISQ 集群的软件堆栈

• 批准号: 2216519
• 负责人: Xiaosong Li
• 金额: $ 2.14万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2216519&HistoricalAwards=false
• 关键词: Collaborative; Research; PPoSS; Planning; Software

Development of large-scale and practical quantum computers is a priority for many countries, industries, and researchers. Demonstrating quantum computers at scale will change the computing model as it is currently known forever, enabling scientific discoveries at an unprecedented pace. This project’s novelties are in designing future quantum systems as a cluster of heterogeneous quantum computers. Such an approach is significantly different from all existing endeavors, as it will be cost effective, scalable, more usable, and more reliable. The project’s impacts include outlining the challenges in such systems, proposing solutions, engaging the community, and describing a plan to build a full software stack for such heterogeneous quantum-computing-based clusters. The project will also engage the multidisciplinary quantum computing community through three invited workshops to inform the potential path towards solutions for the challenges outlined. Through a backbone stakeholder committee, the project will ensure sustainable and sustained workforce development and broadening participation in computing objectives, outcomes, and impact at scale. In addition, the project personnel have a strong commitment to increasing participation of underrepresented groups (including women, racial minorities, and persons with disabilities) in planned activities.This project explores the feasibility of designing a full software stack for a cluster of heterogeneous Noisy Intermediate-Scale Quantum (NISQ) machines. The project will make contributions to the: (a) Realization of cluster of heterogeneous NISQ machines as a quantum-computing platform with large-scale simulation and evaluation on a real platform; (b) Programming environment and user interface to provide a visual interface to understand quantum noise; (c) Compilation techniques to account for heterogeneity of NISQ machines and temporal errors; (d) Runtime to enable fault-tolerance, resource management and scheduling considering the queuing time and noise condition in real time with the help of a resource monitoring mechanism to query the calibration information from all available quantum computers; (e) Co-design of the stack with quantum machine learning and quantum chemistry applications; (f) Utilization of the system calibration data from the multiple existing quantum machines, then apply fidelity degradation detection on each noise attributes to generate the fidelity degradation matrix which is used to define multiple new evaluation metrics to compare the fidelity between the qubit topology of the quantum machines; and (g) Engagement of the multidisciplinary quantum computing community through three invited workshops to inform the potential path towards solutions for the challenges outlined. Education, workforce development (WFD) and broadening participation in computing (BPC) are a major priority of this project. These will be realized as: (a) Through a backbone stakeholder committee, the investigators will ensure sustainable and sustained WFD and BPC objectives, outcomes, and impact at scale. The project plan capitalizes on the breadth of expertise of the PIs with an overall strategy organized to reach increasingly larger stakeholder groups (starting from project members, the broader systems community, and finally to K-12 and non-affiliated professionals); (b) In addition, the project personnel have a strong commitment to increasing participation of underrepresented groups (including women, racial minorities, and persons with disabilities) in planned activities; (c) The investigators will incorporate research outcomes in multiple courses; and (d) The project will facilitate collaboration and synergy among systems researchers, and engage and partner with industry for technology transfer and commercialization.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.

开发大规模实用的量子计算机是许多国家、行业和研究人员的首要任务，大规模展示量子计算机将改变目前已知的计算模型，从而以前所未有的速度实现科学发现。将未来的量子系统设计为异构量子计算机集群，这种方法与所有现有的努力有很大不同，因为它将具有成本效益、可扩展、更可用且更可靠，该项目的影响包括概述此类系统中的挑战。 ,提出解决方案，吸引社区参与，并描述为这种基于异构量子计算的集群构建完整软件堆栈的计划，该项目还将通过三个受邀研讨会吸引多学科量子计算社区，以告知解决方案的潜在途径。通过骨干利益相关者委员会，该项目将确保可持续和持续的劳动力发展，并扩大对计算目标、成果和影响的参与。此外，项目人员还坚定地致力于增加代表性不足的群体的参与。妇女、少数族裔和该项目探讨了为异构噪声中级量子（NISQ）机器集群设计完整软件堆栈的可行性。该项目将有助于： (a) 实现异构集群。 NISQ 机器作为量子计算平台，在真实平台上进行大规模模拟和评估； (b) 编程环境和用户界面，以提供理解量子噪声的可视化界面； NISQ 机器的异构性和时间错误；（d）运行时，借助资源监控机制，实时考虑排队时间和噪声条件，实现容错、资源管理和调度，以查询所有可用量子计算机的校准信息(e) 与量子机器学习和量子化学应用程序共同设计堆栈； (f) 利用来自多个现有量子机器的系统校准数据，然后对每个噪声属性应用保真度退化检测以生成保真度退化矩阵，习惯于定义多个新的评估指标，以比较量子机器的量子比特拓扑之间的保真度；以及（g）通过三个受邀研讨会吸引多学科量子计算界的参与，以告知解决上述挑战的潜在途径（ WFD）和扩大计算参与（BPC）是该项目的主要优先事项，这些将通过以下方式实现：（a）通过骨干利益相关者委员会，研究人员将确保可持续和持续的 WFD 和 BPC 目标、成果和影响。项目规模。计划利用 PI 的广泛专业知识，制定总体战略，以覆盖越来越大的利益相关者群体（从项目成员、更广泛的系统社区开始，最后到 K-12 和非附属专业人员）； (b) 此外，项目人员坚定地致力于增加代表性不足的群体（包括妇女、少数族裔和残疾人）对计划活动的参与； (c) 调查人员将把研究成果纳入多个课程；以及 (d) 项目将促进之间的协作和协同该奖项反映了 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。