NSF QCIS-FF: Columbia University Computer Science Department Proposal
NSF QCIS-FF: Columbia University Computer Science Department Proposal
批准号:
1926524
负责人:
Rocco Servedio
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-01 至 2024-04-30
中文摘要
我们都知道,在过去的几十年里,计算革命以深刻的方式改变了我们的世界,但许多令人向往的计算应用--具有巨大的潜在重要性和实用性--完全超出了当今计算机系统的能力。这是因为对于计算机科学中的许多核心问题,可以解决这些问题的已知最快的计算机程序具有随着输入大小的增加而过快地扩展的运行时间或存储要求(与线性或多项式相反的指数增长);更糟糕的是,人们普遍认为,用于今天的传统计算机系统的更快的程序根本不存在。量子计算提供了一种新的、截然不同的方法的可能性。关键的前提是,通过利用量子力学特性,在某些设置下,量子计算机可以同时处理指数级大量的叠加态,从而(在某种意义上)以经典计算机根本不可能的方式在巨大的搜索空间上执行并行操作。在这种令人兴奋的可能性的激励下,哥伦比亚大学(SEA)工程与应用科学学院启动了“哥伦比亚量子计划”,这是一项雄心勃勃的多年计划,旨在利用哥伦比亚大学在密切相关主题上的长期世界级研究和教育计划,在哥伦比亚大学建立一个涵盖量子科学和技术多个方面的卓越中心。量子计划的核心目标是在未来几年招聘六名或更多终身教职/终身教职教员,他们的主要研究兴趣是量子计算、通信、传感、材料、设备和技术领域,而量子计划的近期目标是在量子计算领域招聘两名终身教职/终身教职教员。作为量子计划的一部分,该奖项将为具有量子计算研究专长的教员创造一个终身/终身教职职位,要么在计算机科学系,要么作为计算机科学和第二个系(如应用物理/应用数学、电气工程或工业工程和运筹学)之间的跨学科联合招聘。聘请一名核心计算机科学人员是必要的,以提供量子技术关键计算方面的坚实专业知识基础,如量子算法、量子编程方法和量子计算机体系结构,而跨学科聘用将在确保组成量子倡议的整个电子工程师团队、应用物理学家、其他领域的研究人员和量子计算研究人员能够有效合作方面发挥关键的桥梁作用。在哥伦比亚海洋大学的知识生态系统中增加量子计算教师将极大地扩大教育范围,以培训哥伦比亚大学的学生学习与量子技术发展相关的一系列学科。这种技术有可能对科学和社会的许多方面产生广泛的、尚未预见的影响。凭借其在计算机科学和相关学科领域的大量优秀学生,通过哥伦比亚大学量子计算方面的教师增长,通过教育产生重大的更广泛影响的潜力很大。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
All of us are aware that the computing revolution has changed our world in profound ways over the past several decades, but many desired applications of computing -- of great potential importance and utility -- are simply beyond the capabilities of today's computer systems. This is because for many central problems in computer science, the fastest known computer programs that can solve these problems have running time or storage requirements that scale too quickly with increasing input sizes (exponentially as opposed to linearly or polynomially); even worse, it is widely believed that faster programs for today's conventional computer systems simply cannot exist. Quantum computing offers the possibility of a new and dramatically different approach. The key premise is that by harnessing quantum mechanical properties, in certain settings it is possible for a quantum computer to simultaneously process an exponentially large number of superimposed states, and thus (in some sense) to perform parallel operations over an enormous search space in a way that is simply impossible for classical computers. Motivated by this exciting possibility, the School of Engineering and Applied Sciences at Columbia University (SEAS) has launched the "Columbia Quantum Initiative," an ambitious multi-year plan to develop a center of excellence at Columbia University spanning multiple aspects of quantum science and technology, leveraging the long-standing world-class research and educational programs at Columbia University on closely related topics. A central goal of the Quantum Initiative is to recruit a half dozen or more tenured/tenure-track faculty over the next few years whose primary research interests are in the areas of quantum computing, communication, sensing, materials, devices and technologies, and a near-term goal of the Quantum Initiative is to hire two tenured/tenure-track faculty members in the area of quantum computing. As part of the Quantum Initiative, this award will enable the creation of a tenured/tenure-track position for a faculty member with research specialization in quantum computing, either in the Computer Science Department or as an interdisciplinary joint hire between Computer Science and a second department such as Applied Physics/Applied Mathematics, Electrical Engineering, or Industrial Engineering and Operations Research. A core Computer Science hire is necessary to provide a solid base of expertise in key computational aspects of quantum technology such as quantum algorithms, quantum programming methodologies, and quantum computer architectures, while an interdisciplinary hire will play a key bridging role in ensuring that the entire team of electrical engineers, applied physicists, researchers from other domains, and quantum computing researchers comprising the Quantum Initiative can work together effectively. The addition of quantum computing faculty to the intellectual ecosystem at Columbia SEAS will greatly expand educational offerings to train students at Columbia University in a range of subjects relevant to the development of quantum technologies. Such technologies have the potential to have broad, as-yet unforeseen impacts on many aspects of science and society. With its large population of outstanding students in Computer Science and associated subject areas, there is great potential for significant broader impact through education via faculty growth in quantum computing at Columbia.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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会议论文
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资助金额:$60.0万
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资助金额:$1.0万
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依托单位:
AF: Small: Collaborative Research: Boolean Function Analysis Meets Stochastic Design
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批准号:1814873
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项目类别:Standard Grant
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资助金额:$16.63万
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财政年份:2018
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负责人:Rocco Servedio
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依托单位:
Student Travel Support for CCC 2018
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批准号:1822097
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2018
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负责人:Rocco Servedio
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依托单位:
AF: Student Travel to CCC 2017
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批准号:1724073
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资助金额:$1.5万
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财政年份:2017
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AF: Medium: Collaborative Research: Circuit Lower Bounds via Projections
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批准号:1563155
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财政年份:2016
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依托单位:
AF: Small: Linear and Polynomial Threshold Functions: Structural Analysis and Algorithmic Applications
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资助金额:$45.0万
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财政年份:2014
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AF: Small: Learning and Testing Classes of Distributions
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资助金额:$47.19万
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财政年份:2013
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负责人:Rocco Servedio
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依托单位:
Student Travel to STOC 2013
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批准号:1319775
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资助金额:$1.5万
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财政年份:2013
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依托单位:
AF: Small: The Boundary of Learnability for Monotone Boolean Functions
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依托单位:
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依托单位:
CT-ISG: Cross-Leveraging Cryptography with Learning Theory
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QnTM: Quantum Computational Learning
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依托单位:
CAREER: Efficient Learning Algorithms for Rich Function Classes
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资助金额:$40.0万
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财政年份:2004
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依托单位:
Efficient Algorithms in Computational Learning Theory
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依托单位:
海外基金