Project Grant 2542721
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $450,000 Project Grant from the National Science Foundation's Division of Physics under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2028. This grant supports fundamental research into ultra-high-performance quantum memories through the systematic exploitation of physical symmetries to enhance the protection of quantum...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $300,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective August 1, 2025 through July 31, 2028. The award supports research and development in coding theory with applications to classical and quantum computing systems. Primary deliverables include the development...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $695,000 project grant from the U.S. Department of Energy's Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) for the project titled "Measurement-Based Quantum Computing for Quantum Chemistry." The award, effective September 1, 2025, through August 31, 2026, supports fundamental scientific research in quantum information science, a priority...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a CAREER award of $419.7K from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). Awarded on May 1, 2026, with completion targeted for April 30, 2031, this project develops learning-augmented algorithms that integrate machine learning predictions with traditional...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $270,000 CAREER Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective September 1, 2025, through August 31, 2030. The award supports the development of scalable Bayesian statistical methodologies incorporating heavy-tailed prior distributions to address three primary research challenges: (1) advancing feature extraction techniques...
- Project Grant Summary: Student Understanding of Linear Algebra Across Quantum Information Science Virginia Polytechnic Institute & State University (Virginia Tech) received a $499,502 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings under the STEM Education program (CFDA 47.076). The award, effective August 15, 2025 through July 31, 2028, funds fundamental research investigating how undergraduate students understand...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $400,000 CAREER grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective September 1, 2025 through August 31, 2030. The award supports the development of automated, scalable technologies for extracting high-quality, trustworthy scientific information from...
- Federal Grant Award Summary This collaborative research project, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering program (CFDA 47.070) with $528,132 obligated on August 15, 2025, addresses the critical national need for a quantum computing (QC) workforce prepared with both theoretical knowledge and practical skills. Administered through Rensselaer Polytechnic Institute in Troy, New York, the award supports development of an integrated quantum...
- The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Virginia Polytechnic Institute & State University (Virginia Tech) to fund research on disordered quantum matter. The three-year grant, active from August 1, 2023 to July 31, 2026, will support Virginia Tech's work to develop an underlying mathematical theory to better understand the properties of materials that could play a crucial role in creating...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $639,433 CAREER (Faculty Early Career Development) grant awarded May 15, 2026, under the National Science Foundation's Engineering program (CFDA 47.041), with completion anticipated by April 30, 2031. The project delivers a unified, theory-driven framework that integrates machine learning with branch-and-bound algorithms to enhance global optimization of mixed-integer nonlinear...
Virginia Polytechnic Institute & State University (Virginia Tech) received a $413,253 CAREER grant award effective April 1, 2026, through March 31, 2031, from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award supports the development of theoretical frameworks and algorithms for learning quantum states in practical, noisy environments. The research will design and analyze noise-robust algorithms for quantum state characterization, develop methods for classifying quantum states and analyzing their behavior under noise exposure, and create approaches for learning quantum states from preparation devices with optimal performance identification. The deliverables combine quantum information theory and optimization techniques to produce algorithms with provable performance capabilities. The project will additionally support education and workforce development in quantum information science through student training and educational initiatives including summer camps and lecture materials designed to prepare the future quantum computing workforce. By addressing fundamental challenges in quantum state learning and noise mitigation, this research will contribute to the development of scalable, fault-tolerant quantum hardware and enable reliable implementation of advanced quantum algorithms—essential capabilities for verifying quantum devices, developing quantum algorithms, securing quantum communication systems, and advancing quantum technologies for scientific computing applications.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $413.3k | 3/30/26 |