This $1,065,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research by the University of Pennsylvania, University of Wisconsin-Madison, and Northeastern University to develop novel quantum materials through deep learning-guided "twistronics". The researchers will use computer-aided deep learning models and theoretical tools to predict and guide the self-assembly of two-dimensional...
The National Science Foundation (NSF) awarded a $420,000 Project Grant through the Mathematical and Physical Sciences (CFDA 47.049) program to Northeastern University. The 3-year grant, beginning August 1, 2024, will fund research focused on developing novel machine learning-inspired computational methods and advancing the understanding of quantum many-body systems. Key efforts include: 1) applying neural network models based on "quantum attention" to study quantum many-body ground...
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 $500,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will enable the Massachusetts Institute of Technology (MIT) to build an advanced quantum computing laboratory. The laboratory will create and fault-tolerantly measure many-body quantum states, with the goal of demonstrating practical quantum advantages for problems in chemistry, materials, and physics. The project will make significant advances in atomic...
This $133,485 Project Grant award from the National Science Foundation's (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 project, led by Arizona State University (ASU), is creating instructional content covering quantum computing fundamentals, simulations, and machine learning. It will...
The National Science Foundation (NSF) awarded a $240,000 CAREER grant to The Trustees of Columbia University in the City of New York to support theoretical research and educational activities in the rapidly evolving field of quantum materials. The project, funded through the NSF's Mathematical and Physical Sciences (CFDA 47.049) program, aims to study how the quantum geometry of electron wavefunctions affects the collective properties of electrons in both clean and disordered quantum...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 to President and Fellows of Harvard College to address critical gaps in understanding the capabilities of current noisy quantum devices, particularly in the near and medium term. The key products and services to be delivered under this award include: Developing new methods to demonstrate quantum advantage in noisy environments, with a...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund collaborative research to develop scalable quantum computing systems. The project aims to interconnect multiple quantum processing units (QPUs) with limited qubit capacity into a scalable "virtual quantum machine" (VQM) with far greater qubit capabilities. The research will investigate fundamental qubit entanglement and...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) will provide $277,686 to the Regents of the University of Minnesota to develop advanced computational modeling and machine learning workflows for exploring the mechanical and electronic properties of 2D quantum materials. The project aims to enable rapid, automated, high-fidelity simulations of these materials, which are critical for advancing emerging...
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 develop open-source, hands-on training materials for quantum-based machine learning (QML) in science and engineering. The $216,151 grant, awarded to Kennesaw State University Research and Service Foundation, Inc., will enable the collaborative development of nine transferable QML training modules with hands-on labs,...