Project Grant 2312086

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $450K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Baton Rouge, LA 70803, USA
Similar Awards
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Pennsylvania State University (Penn State) to establish a quantum computing training program for power system engineers. The goal of this 2-year project is to create a training program that synthesizes knowledge from power engineering and quantum computing, enabling trainees to develop quantum algorithms to address complex challenges in...
This $199,986 National Science Foundation project grant supports the development of variational quantum algorithms to efficiently solve time-dependent nonlinear differential equations for very high-dimensional transient stability simulation and N-K contingency analysis problems in large-scale power systems with renewable energy sources. Funded under the NSF's $47.041 million Engineering program, the research aims to realize an exponential advantage over classical algorithms through new...
This $275,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) to Clemson University aims to develop quantum computing algorithms and technologies to enable a seamless transition between grid-following and grid-forming controls for inverter-based resources in renewable energy systems. Specifically, the project will: (1) design a quantum approximate optimization algorithm to optimally partition interconnected microgrids under heterogeneous...
This National Science Foundation (NSF) grant under the Engineering program (CFDA 47.041) aims to develop quantum computing technologies to enable a seamless transition between grid-following and grid-forming controls for inverter-based resources in renewable energy systems. The $275,000 award to The Pennsylvania State University supports the following key objectives: Designing a quantum approximate optimization algorithm to address the complexity and non-convexity of optimally partitioning...
Louisiana State University was awarded a $480,000 Project Grant from the National Science Foundation Division of Physics on August 1, 2021 to support research in the area of quantum optomechanics at the standard quantum limit. The award, which will be completed by July 31, 2024, is being conducted under the Mathematical and Physical Sciences program (CFDA 47.049). This program aims to promote progress in the mathematical and physical sciences to strengthen the nation's scientific enterprise...
This Project Grant award, valued at $550,000 and spanning from December 1, 2024 to November 30, 2027, was issued by the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) under the Engineering program (CFDA 47.041). The award aims to investigate how novel quantum computing (QC) methodologies can be used to solve complex decision-making problems in Process Systems Engineering (PSE), which often involve continuous optimization...
The National Science Foundation (NSF) awarded a 3-year, $256,000 Project Grant under the Division of Physics' Mathematical and Physical Sciences program (CFDA 47.049) to Michigan State University to research methods for improving the performance of quantum computing algorithms for quantum state preparation. The project will explore preconditioning methods, sampling techniques, and reducing systematic errors to accelerate the Rodeo quantum computing algorithm, using the 2D Heisenberg model as a...
This $200,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund research at Clarkson University to develop a holistic quantum-inspired framework for power system state estimation. The framework aims to address cybersecurity risks and operational challenges in decentralized grids through four main activities: 1) Designing a quantum network architecture and protocols for smart grid communications and key distribution. 2)...
This $200,000 National Science Foundation project grant supports the development of a holistic quantum-inspired framework for power system state estimation at Virginia Commonwealth University from January 2023 through December 2025. The goal is to address cybersecurity risks and operational challenges in decentralized grids through four main research activities: 1) designing a quantum network architecture and protocols for smart grid communications, 2) developing efficient quantum computing...
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 National Science Foundation (NSF) Project Grant award, funded under the NSF Engineering (CFDA 47.041) program, aims to develop quantum computing-inspired algorithms to address optimization challenges in critical infrastructure systems, with a focus on power systems. The $449,922 award to Louisiana State University (LSU), to be completed by September 30, 2026, will integrate machine learning and distributed computing with quantum computing techniques to enable the solution of complex mixed-integer optimization problems. The project seeks to advance the understanding of quantum computing optimization algorithms and facilitate their application to solving a variety of optimization problems, particularly in the power systems domain. The research will contribute to the field of cyber-physical systems optimization by addressing key technical and algorithmic challenges in leveraging quantum computing for these types of problems.

Generated 4/30/24, 5:08 PM