This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $171,227.00 to the University of South Carolina to conduct research on quantum analogues of low-complexity functions on the Hamming cube. The goal is to develop tools to address challenges from the high-dimensional regime and non-commutativity, thereby strengthening connections between harmonic analysis, functional analysis, quantum information...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research into harmonic analysis and the behavior of quantum waves on curved spaces, particularly the Schrödinger equation. The $215,830 award to Louisiana State University, effective July 1, 2025 through June 30, 2028, will fund the development of new mathematical tools to study wave behavior and derive space-time estimates for the linear Schrödinger equation...
This three-year Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), provides $150,000 to Bridgewater State University to support collaborative research on topics in abstract, applied, and computational harmonic analysis. The research aims to advance understanding of modern tools related to Fourier analysis and their application in data science, signal processing, and quantum...
This $150,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences supports research to develop quantum algorithms for modeling human dynamics and enhancing threat detection capabilities. The award, effective September 1, 2023 through August 31, 2026, aims to harness the power of quantum computing to improve upon classical computational methods for analyzing spatio-temporal human behavior data. The proposed framework can be used to discover anomalies...
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 Federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $769,750 to the College of Charleston and the University of South Carolina to advance the fundamental understanding of topological phonons in engineered quantum materials. The research aims to explore the generation, dynamics, and control of these quantum information carriers through a combination of ultrafast optical spectroscopy, materials synthesis...
This Project Grant award of $450,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a new hybrid digital-analog approach for quantum simulation. The project aims to expand the scientific reach of quantum simulators by enabling new classes of quantum interactions that are currently inaccessible. Specifically, the research will demonstrate programmable many-body quantum Hamiltonians containing higher-order spin...
This $299,996 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental mathematical research by a team at Utah State University. The project aims to develop new algebraic and geometric tools to formalize and advance the mathematical theory underlying quantum physics, particularly in low-dimensional topology and the theory of quantum invariants. The key products and...
This $172,114 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) aims to advance statistical methodologies and computational approaches for quantum learning. The principal investigator will develop novel statistical techniques to demonstrate the advantages of quantum computing over classical methods for complex machine learning tasks. The project also seeks to integrate research...
The National Science Foundation (NSF) awarded a $350,000 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of Michigan. The grant will fund a project titled "Extracting Spectral Information from Noisy Quantum Data" from October 1, 2023 to September 30, 2026. The project aims to develop methodologies for reducing noise and improving accuracy in quantum mechanical simulations on quantum computers, in order to enable more...