Project Grant 2425838
Award Date
8/1/24
Completion Date
7/31/26
Dollars Obligated
$150K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Norman, OK 73019, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award of $199,637.00 to the Rochester Institute of Technology (RIT), under the NSF Directorate for Engineering (CFDA 47.041) program, aims to enhance the robustness and efficiency of quantum computing hardware and applications. The key objectives are to: 1) Apply machine learning techniques to extract useful information from the noisy output of quantum computers, enabling their practical use despite hardware limitations, and 2) Identify...
This Project Grant award from the National Science Foundation's (NSF) Division of Computing and Communication Foundations, under the CFDA program "Computer and Information Science and Engineering," provides $600,000 to Yale University from September 1, 2023 to August 31, 2026. The funding supports the development of a quantum database (QDB) system architecture to enable efficient and reliable data processing by quantum computing systems. The key products and services to be delivered...
This $400,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research at The Leland Stanford Junior University (Stanford University) from October 1, 2024 to September 30, 2027. The goal of the project is to develop innovative computational methods that integrate classical and quantum algorithmic tools within the fields of statistics and operations research. The research will focus on applications...
This $700,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of machine learning tools and quantum-classical hybrid algorithms to advance quantum materials research and optimize the use of noisy intermediate-scale quantum devices. Led by Cornell University with subawards to Princeton University, New York University, and Harvard University, the project will deliver new topological materials, a...
This $600,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project aims to address critical gaps in understanding the capabilities and limitations of near- and medium-term quantum devices, particularly in the context of noisy, intermediate-scale quantum (NISQ) systems. The key objectives of the project are: 1) Developing new fault-tolerance methods to enable Shor's...
This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to support the development of a verifiable quantum compiler that integrates formal methods to enable fault-tolerant quantum computing. The $500,000 award, with a period of performance from September 1, 2024 to August 31, 2028, will fund research to optimize the translation of quantum algorithms into fault-tolerant...
The National Science Foundation (NSF) awarded a $1,149,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to the University of Massachusetts (UMass) Amherst. This 3-year grant, effective July 1, 2024, will fund the development of an open-source ecosystem of modeling tools for quantum hardware. The project aims to democratize access to quantum technology by creating user-friendly tools that allow researchers to model quantum systems...
This National Science Foundation (NSF) Project Grant award, funded under the Mathematical and Physical Sciences (CFDA 47.049) program, supports the development, analysis, and deployment of Quantum Digital Twins (QDTs) - digital clones of existing quantum computers. The $299,990 award to the University of New Mexico aims to enable bidirectional interactions between quantum computers and virtual models on classical systems, optimizing quantum performance and advancing the state of quantum...
This $300,000 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of quantum database (QDB) systems at the University of Chicago. The key objective is to address challenges in quickly accessing data in quantum superposition and reliably manipulating quantum data despite the high error rates inherent in quantum devices. The...
This $133,485 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting the development of a quantum computing training curriculum for undergraduate and graduate students, as well as researchers, in materials science and chemistry. The curriculum covers quantum computing fundamentals, quantum simulations, and quantum machine learning, utilizing both IBM quantum hardware and NVIDIA CUDA quantum...