ExpandQISE: Track 2: NC A&T QISE Research Workforce Development Programs

展开QISE:轨道 2:NC A

基本信息

项目摘要

Non-Technical Description: Solutions to numerous complex scientific problems are directly related to the availability of suitable computational capabilities – speed and accuracy and sophistication. We are rapidly approaching the upper limits of classical supercomputers capabilities, hence the need to design new computer systems that will contribute to the solution of complex challenges. The advent of quantum computer systems promises to bring about revolutionary changes to all human endeavors – with immediate interest in application of quantum computing, quantum sensing, quantum chemistry, and quantum biology. This coming quantum revolution is strongly dependent on having a skilled quantum information science & engineering (QISE) workforce capable of taking the novel ideas to breakthrough quantum-based products in the marketplace. North Carolina A&T State University (NC A&T) is the largest public Historically Black College and University (HBCU) and a leading producer of African American undergraduate physical sciences and engineering degrees. NC A&T’s faculty and students have embarked on a comprehensive QISE workforce development programs which leverages its institutional academic strengths and long-term strategic plan to enable highly productive partnerships with key industrial stakeholders and academic experts. This strategic partnership will catalyze cutting-edge QISE research, enhance nascent QISE academic programs, and expand the engagement of African American and women in the QISE workforce.Technical Description: The utilization of Noisy, Intermediate-Scale Quantum (NISQ) devices to solve challenging scientific problems has been hampered by the low coherence in massively entangled quantum systems. Hence, investigators have developed a variety of strategies to minimize the limitations and maximize the strengths of current NISQ computers. Our team will employ several variational quantum algorithm techniques to enable the exploitation of the computational advantages of NISQ computers in the areas of hypersonic flow and the design of novel 2D quantum materials. The team consists of academic institutions (NC A&T, Massachusetts Institute of Technology, the Ohio State University, and the University of the West Indies), a national laboratory (Brookhaven National Laboratory), a private research organization (Universities Space Research Association), and a leading quantum computing service provider (qBraid). The ExpandQISE: Track 2: NC A&T QISE Research Workforce Development Programs consists of: Core Research Projects (Quantum algorithms for computational fluid dynamics of nonlinear flows; quantum computational chemistry for the design and fabrication of novel semiconductor and quantum materials), a Development Project (construction and operation of a programmable quantum computer); and the design and implementation of QISE education research and workforce development projects (QISE Undergraduate Scholars Program; QISE Short Course Series).This project is jointly funded by the Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP), the Office of Multidisciplinary Activities (MPS/OMA), 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.
非技术描述:许多复杂科学问题的解决方案与合适的计算能力的可用性直接相关——速度、准确性和复杂性,我们正在迅速接近经典超级计算机能力的上限,因此需要设计新的计算机系统。量子计算机系统的出现有望为所有人类事业带来革命性的变化——量子计算、量子传感、量子化学和量子生物学的应用将产生直接的兴趣。拥有熟练的量子信息科学北卡罗来纳州 A&T 州立大学 (NC A&T) 是最大的公立历史黑人学院和大学 (HBCU),也是非裔美国人的领先生产者。 NC A&T 的本科物理科学和工程学位的教师和学生已经开始实施全面的 QISE 劳动力发展计划,该计划利用其机构学术优势和长期战略计划,与主要工业利益相关者和学术专家建立高效的合作伙伴关系。促进尖端 QISE 研究,加强新兴的 QISE 学术项目,并扩大非裔美国人和女性在 QISE 劳动力中的参与度。技术描述:利用嘈杂的中尺度量子 (NISQ) 设备来解决具有挑战性的科学问题已经成为由于大规模纠缠量子系统的低相干性,研究人员开发了多种策略来最小化当前 NISQ 计算机的局限性并最大化其优势。该团队由学术机构(NC A&T、麻省理工学院、俄亥俄州立大学和大学)组成。西印度群岛)、国家实验室(布鲁克海文国家实验室)、私人研究组织(大学空间研究协会)和领先的量子计算服务提供商(qBraid)。 ExpandQISE:轨道 2:NC A&T QISE。研究人员发展计划包括:核心研究项目(非线性流计算流体动力学的量子算法;用于设计和制造新型半导体和量子材料的量子计算化学)、开发项目(可编程量子计算机的构建和操作)以及 QISE 教育研究和劳动力发展项目(QISE 本科学者计划;QISE 短期课程系列)的设计和实施。该项目由历史悠久的黑人学院和大学 - 本科生计划 (HBCU-UP)、多学科活动办公室 (MPS/OMA) 和技术前沿计划 (TIP/TF)。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点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

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Raymond Samuel其他文献

Radioactive waste: A review
放射性废物:回顾
  • DOI:
    10.1002/wer.1442
  • 发表时间:
    2020-08-29
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Dongyang Deng;Lifeng Zhang;M. Dong;Raymond Samuel;A. Ofori;Mehdi Lamssali
  • 通讯作者:
    Mehdi Lamssali
Textiles wastewater treatment technology: A review
纺织废水处理技术:综述
  • DOI:
    10.1002/wer.1437
  • 发表时间:
    2020-08-13
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Dongyang Deng;Mehdi Lamssali;N. Aryal;A. Ofori;M. Jha;Raymond Samuel
  • 通讯作者:
    Raymond Samuel
Toward Data-Driven Assessment of Caregiver’s Burden for Persons with Dementia using Machine Learning Models
使用机器学习模型对痴呆症患者的护理人员负担进行数据驱动的评估

Raymond Samuel的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Raymond Samuel', 18)}}的其他基金

Catalyst Project: Broadening Participation in Quantum Information Science and Engineering through Culturally-Relevant Experiential Learning
催化剂项目:通过文化相关的体验式学习扩大对量子信息科学与工程的参与
  • 批准号:
    2205862
  • 财政年份:
    2022
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
Catalyst Project: Broadening Participation in Quantum Information Science and Engineering through Culturally-Relevant Experiential Learning
催化剂项目:通过文化相关的体验式学习扩大对量子信息科学与工程的参与
  • 批准号:
    2205862
  • 财政年份:
    2022
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
EAGER: Using the I Corps and Lean Launchpad Methodology to Unlock Innovation Potential in Moderate and Undergraduate Research Focused HBCUs
EAGER:使用 I Corps 和精益 Launchpad 方法来释放中等和本科生研究重点 HBCU 的创新潜力
  • 批准号:
    2028508
  • 财政年份:
    2020
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant

相似国自然基金

面向小样本教育场景的学生知识追踪方法研究
  • 批准号:
    62307006
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
多精度目标追踪的多模态统一模型
  • 批准号:
    62302328
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
三维黏弹性TTI介质中地震射线追踪及走时成像方法研究
  • 批准号:
    42304060
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于单像素探测的高速运动目标追踪与成像技术研究
  • 批准号:
    62305144
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
前额叶及其脑网络在儿童共情发展中的作用:计算建模与追踪研究
  • 批准号:
    32371103
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo: Building an inclusive geoscience community through accessible, reusable, and reproducible workflows
合作研究:GEO OSE 第 2 轨道:Pythia 和 Pangeo 项目:通过可访问、可重用和可重复的工作流程构建包容性的地球科学社区
  • 批准号:
    2324302
  • 财政年份:
    2024
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 2: Developing CI-enabled collaborative workflows to integrate data for the SZ4D (Subduction Zones in Four Dimensions) community
协作研究:GEO OSE 轨道 2:开发支持 CI 的协作工作流程以集成 SZ4D(四维俯冲带)社区的数据
  • 批准号:
    2324711
  • 财政年份:
    2024
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
Collaborative Research: GEO OSE Track 1: Facilitating Reproducible Open GeoScience
合作研究:GEO OSE 第 1 轨道:促进可重复的开放地球科学
  • 批准号:
    2324732
  • 财政年份:
    2024
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
RII Track-4: NSF: Scalable MPI with Adaptive Compression for GPU-based Computing Systems
RII Track-4:NSF:适用于基于 GPU 的计算系统的具有自适应压缩的可扩展 MPI
  • 批准号:
    2327266
  • 财政年份:
    2024
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
RII Track-4: NSF: Bio-inspired Solutions to Prevent Soil Erosion in Farmland and Scouring in Fluvial Regions
RII Track-4:NSF:防止农田水土流失和河流地区冲刷的仿生解决方案
  • 批准号:
    2327384
  • 财政年份:
    2024
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了