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 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...
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...
The National Science Foundation (NSF) awarded a $350,069 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Rochester to develop an analog quantum simulator for modeling the dynamics of open quantum systems. The objective is to create a platform using semiconductor quantum dots and quantum electronic circuits that can simulate the dissipative dynamics of excitons in molecular systems, such as those found in photosynthetic complexes or Hubbard...
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...
The National Science Foundation (NSF) Division of Physics awarded a $137,548 Project Grant to the University of New Mexico (UNM) under the Mathematical and Physical Sciences program (CFDA 47.049). The 3-year grant, running from September 1, 2023 to August 31, 2026, will fund research to deepen the understanding of quantum computational advantage. Specifically, the project seeks to explore the interplay between entanglement, measurement, and quantum many-body physics in the context of "noisy...
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...
The National Science Foundation (NSF) awarded a $382,119 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Research Foundation For The State University Of New York (RF SUNY), operating as Stony Brook University, from September 1, 2023 to August 31, 2026. The grant will fund research on digital quantum simulations to study the ground states and dynamics of various complex quantum systems, including spin models, gauge theories, and supersymmetric systems....
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 $300,000 Project Grant awarded by the National Science Foundation's Mathematical and Physical Sciences (CFDA 47.049) program supports research, education, and outreach activities at the University of Minnesota. The goal is to develop theoretical underpinnings and quantum algorithms that can be implemented on modern quantum computing platforms. Specifically, the project will investigate the effectiveness of noisy-dissipative qubit arrays for quantum optimization and cooling, and implement...