The National Science Foundation (NSF) awarded a Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the Regents of the University of Michigan to develop advanced computational techniques for studying quantum impurity models. This $236,630 award, spanning from June 1, 2024 to May 31, 2027, will support research aimed at creating novel tensor contraction and compression algorithms to enable more accurate simulation of quantum many-body systems. The...
The National Science Foundation (NSF) awarded a $277,686 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to the Regents of the University of Minnesota. The grant, titled "COLLABORATIVE RESEARCH: NSF-NSERC: DATA-ENABLED MODEL ORDER REDUCTION FOR 2D QUANTUM MATERIALS", will develop advanced computational modeling workflows that merge quantum modeling and machine learning methods. This will enable rapid, automated, high-fidelity exploration...
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...
The National Science Foundation (NSF) Division of Materials Research awarded a $145,512 Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to the Regents of the University of Michigan. The award, effective September 15, 2024 through August 31, 2027, supports collaborative research to explore new quantum states in iridium oxides under high pressure. The project aims to elucidate the relationship between crystal structure, chemical bonding, and strong...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $362,344 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Michigan, Office of Research and Sponsored Projects (doing business as the University of Michigan) to investigate the interaction between two quantum bits (qubits) in a semiconductor system. The goal is to create two site-controlled quantum dots in close proximity and exploit their...
This $296,555 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support the development of reduced basis enhancements for neural networks and their application to quantum materials simulation. Specifically, the University of Massachusetts Dartmouth will combine traditional reduced basis methods with deep learning techniques to build an analysis-driven computational emulator for parameterized partial differential equations....
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 $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 $600,000 Project Grant from the National Science Foundation's Division of Chemistry, under the Mathematical and Physical Sciences program (CFDA 47.049), will support research into practical strategies for implementing quantum chemistry on near-term quantum computers. James Freericks of Georgetown University and Dominika Zgid of the University of Michigan will collaborate to develop hybrid quantum-classical methodologies to run important parts of calculations on noisy intermediate-scale...
This $248,756 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to design secure quantum computing systems. The project focuses on studying security vulnerabilities and developing remediation techniques for both hardware-specific and agnostic side-channel attacks on existing noisy intermediate-scale quantum computers and upcoming fault-tolerant quantum computing architectures. The...