CCRI: Planning: Enabling Quantum Computer Science and Engineering

CCRI:规划:赋能量子计算机科学与工程

基本信息

  • 批准号:
    2016666
  • 负责人:
  • 金额:
    $ 10万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-05-01 至 2022-04-30
  • 项目状态:
    已结题

项目摘要

Quantum computing promises to revolutionize the entire paradigm of computing with significant societal impact. Along with advances is research and development, it also requires the next-generation of quantum-trained workforce who will be able to take advantage of the technological changes. This project is a planning grant to determine the requirements for development of an academic hosted and online accessible trapped ion-based quantum computer testbed. A testbed of this nature will give computer scientists access to a functioning quantum computer to test new ideas in the area quantum algorithms. This planning grant would have four goals: 1) determine the desire of the broader quantum computer scientist community in having access to open quantum computer; 2) define the requirements for the minimum number of qubits to have an effective resource for researcher; 3) determine the at what level in the computing stack would researcher like access to the computer; 4) determine the appropriate balance between a computing resource the broad quantum community and the academic nature of the device as a tool to educational and workforce development. The approach in this planning grant is to enable the next generation of quantum computing platforms for computer engineering and computer science researchers to perform algorithm research. Georgia Tech Research Institute (GTRI) has demonstrated leadership in developing ion trap quantum system hardware over the last fifteen years. The project will leverage the expertise in this joint effort between GTRI and Georgia Institute of Technology and enable a ten-qubit quantum computing testbed with open source software infrastructure and capability of remote access. It is expected to directly impact the following research vectors: (1) Microarchitecture research to explore topics related to but not limited to physical model driven error correction, resiliency, noisy intermediate state quantum computing models etc. (2) Algorithm research to understand the fundamental advantages and limitations of quantum algorithms from space-time complexity on a practical system with its full software stack. (3) Applications research which will span over engineering as well as science disciplines – with a focus on CISE related research.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.
量子计算有望彻底改变整个计算范式,并产生重大的社会影响。沿着的是研究和开发,它也需要下一代受过量子训练的劳动力,他们将能够利用技术变革。该项目是一个规划补助金,以确定开发学术托管和在线访问的基于捕获离子的量子计算机测试平台的要求。这种性质的测试平台将使计算机科学家能够使用一台功能正常的量子计算机来测试量子算法领域的新想法。该计划拨款将有四个目标:1)确定更广泛的量子计算机科学家社区访问开放量子计算机的愿望; 2)定义研究人员拥有有效资源的最小量子位数的要求; 3)确定研究人员希望在计算堆栈中访问计算机的级别; 4)确定计算资源广泛的量子社区和设备的学术性质之间的适当平衡,作为教育和劳动力发展的工具。 该计划拨款的方法是使计算机工程和计算机科学研究人员能够使用下一代量子计算平台进行算法研究。格鲁吉亚技术研究所(GTRI)在过去十五年中在开发离子阱量子系统硬件方面表现出领导地位。该项目将利用GTRI和格鲁吉亚理工学院之间的联合努力的专业知识,并启用具有开源软件基础设施和远程访问能力的10量子位量子计算测试平台。预计将直接影响以下研究方向:(1)微架构研究,探索与物理模型驱动的纠错,弹性,噪声中间态量子计算模型等相关的主题(2)算法研究,了解量子算法的时空复杂性的基本优势和局限性。(3)应用研究,这将跨越工程以及科学学科-重点是CISE相关的研究。这个奖项反映了NSF的法定使命,并已被认为是值得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的支持。

项目成果

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Arijit Raychowdhury其他文献

A 24/48V to 0.8V-1.2V All-Digital Synchronous Buck Converter with Package-Integrated GaN power FETs and 180nm Silicon Controller IC
具有封装集成 GaN 功率 FET 和 180nm 硅控制器 IC 的 24/48V 至 0.8V-1.2V 全数字同步降压转换器
Arbitrary Two-Pattern Delay Testing Using a Low-Overhead Supply Gating Technique

Arijit Raychowdhury的其他文献

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{{ truncateString('Arijit Raychowdhury', 18)}}的其他基金

EAGER: Collaborative: Machine-Learning based Side-Channel Attack and Hardware Countermeasures
EAGER:协作:基于机器学习的侧通道攻击和硬件对策
  • 批准号:
    1935534
  • 财政年份:
    2019
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
SaTC: CORE: Small: Collaborative: EM and Power Side-Channel Attack Immunity through High-Efficiency Hardware Obfuscations
SaTC:核心:小型:协作:通过高效硬件混淆来抵御电磁和电源侧通道攻击
  • 批准号:
    1717467
  • 财政年份:
    2017
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant
CRII: SHF: Real-time Approximate-Dynamic-Programming based Neuro-controllers for Dynamic Power Management in Power-Constrained Digital Systems
CRII:SHF:基于实时近似动态编程的神经控制器,用于功率受限数字系统中的动态功率管理
  • 批准号:
    1464353
  • 财政年份:
    2015
  • 资助金额:
    $ 10万
  • 项目类别:
    Standard Grant

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