Project Grant 2534977
- This $450,000 Project Grant awarded by the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) supports the development, analysis, and implementation of quantum and quantum-inspired numerical algorithms to overcome computational challenges in simulating complex problems. The key research objectives are: (1) to develop efficient and provable quantum-inspired classical finite element methods (FEMs) for solving high-dimensional partial differential equations (PDEs); and...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Qubitsolve Inc., a minority-owned small disadvantaged business, will develop a computational fluid dynamics (CFD) software prototype for quantum computers. The project aims to utilize quantum computing to perform CFD simulations, initially targeting applications in the aerospace and automotive industries, with potential future use in national defense, healthcare, and...
- This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program will develop a new computational fluid dynamics (CFD) software that leverages quantum computing. The $1,197,002 project, awarded to Qubitsolve Inc. on September 15, 2025, aims to create one of the first industrial applications of quantum computing. The technology will initially target challenges in the aerospace industry, with potential future...
- This $550,000 federal Project Grant, awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports research at Lehigh University to develop and analyze quantum optimization techniques for solving structured optimization problems in process systems engineering. The project aims to explore how novel quantum computing methodologies can be leveraged to outperform classical computers in solving complex decision-making problems in areas such as supply chain management,...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $530,513 Project Grant to the Texas A&M Engineering Experiment Station to develop new computational tools for fluid-structure interaction problems under the Engineering (47.041) federal grant program. This three-year award beginning June 1, 2023 will support research leveraging quantum computing and machine learning techniques to accelerate solutions to challenges involving interactions...
- 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 $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 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...
- The National Science Foundation (NSF) awarded a $630,763 Project Grant under the Engineering program (CFDA 47.041) to Georgia TECH Research Corp, doing business as the Office of Sponsored Programs. The objective of this 3-year project, running from July 1, 2025 to June 30, 2028, is to develop a systematic approach to modeling multiscale fluid dynamics phenomena. This research aims to advance predictive modeling capabilities for applications such as weather forecasting, climate modeling, fusion...
- This $1,998,806.00 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports an ambitious multi-institutional research effort to advance quantum science and engineering. The goal is to develop a new class of devices based on the emergent quantum physics of periodically driven materials, establishing a novel paradigm for Floquet-enabled quantum detection and sensing. The project aims to produce integrated sensing devices that will create a fully...
This $2,999,456 Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) will support research at New York University (NYU) to develop methods for using quantum computing and machine learning to rapidly predict complex fluid dynamics. The goal is to enable faster and more accurate simulation of chaotic fluid flows, such as those around supersonic aircraft, in hurricanes, and inside automobile engines. The project will combine quantum computing with classical supercomputing, using artificial intelligence to bridge the gap between linear quantum processes and the nonlinear dynamics of complex fluid flows. If successful, this research could enable transformative advances in the modeling and prediction of natural and engineered fluid systems. As part of the project, NYU will host workshops and collaborate with industry partners to disseminate the new computational methods, as well as train students in this emerging interdisciplinary field of quantum science and engineering.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $3.0m | 8/20/25 |