This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) supports a research project titled "CQIS: Constrained Optimization on a Variational Quantum Computer: Problem Modeling, Algorithmic Design, and Performance Analysis." The $200,000 award, effective September 1, 2024 through August 31, 2027, will be performed by Purdue University. The project aims to develop a systematic framework for solving constrained optimization problems using...
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...
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 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 (NSF) under the Engineering program (CFDA 47.041) aims to enable faster and more efficient computational methods in renewable-integrated power systems using quantum computing. The $275,000 award to Clemson University, with a performance period from January 1, 2025 to December 31, 2027, will develop variational quantum algorithms to address complex computational challenges in the power industry. The key goals are to enable a seamless...
This Project Grant awarded by the National Science Foundation (NSF) under CFDA Program 47.041 - Engineering aims to develop quantum computing techniques to enable seamless transitions between grid-following and grid-forming controls for inverter-based resources (IBRs) in renewable energy systems. The $275,000 award, with a project period from January 1, 2025 to December 31, 2027, will fund research at The Pennsylvania State University to: 1) create a quantum approximate optimization algorithm to...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will provide $370,974 to the University of Houston System to conduct research aimed at advancing the understanding of quantum materials. The research will develop new models and methods for designing quantum materials by linking continuum mechanics with quantum field, electric field, and magnetic field interactions. Specifically, the work will explore the impact of strain and strain gradient on...
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 $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations (CFDA 47.070 "Computer and Information Science and Engineering") to The Pennsylvania State University (Penn State) will support the development of an integrated framework for optimally controlling open quantum systems. The project aims to establish a comprehensive mathematical model to characterize the dynamics of quantum systems interacting with their...
This Project Grant award of $309,033 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to advance quantum computing software optimization techniques. The project will develop novel programming languages, compilation algorithms, and testing tools to enable more effective and efficient large-scale quantum program optimizations across diverse quantum hardware platforms, beyond traditional qubit-based systems. Key objectives include...