Project Grant 2544323
- Federal Grant Award Summary The University of Texas at Austin received a $550,000 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) to advance modular quantum computing architectures. The project, which commenced June 1, 2026 and concludes May 31, 2031, will develop Josephson Junction Field Effect Transistor (JJFET) technology—a hybrid...
- Federal Grant Award Summary The University of Texas at Austin received a $550,000 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) to develop advanced microwave-to-optical transduction technology. The project, running from May 1, 2026 through April 30, 2031, will produce a chip-scale transduction scheme utilizing acoustic waveguides to enable efficient and...
- Federal Grant Award Summary The University of Texas at Austin received a $600,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective August 1, 2025, through July 31, 2028. This BRITE PIVOT award supports fundamental research to develop quantum computing algorithms for understanding the mechanical properties of strongly correlated materials—an emerging class of materials where...
- Federal Grant Award Summary The University of Texas at Austin received a $3.0 million Project Grant award from the National Science Foundation's Division of Graduate Education under the STEM Education program (CFDA 47.076), effective September 1, 2025, through August 31, 2030. This National Research Traineeship (NRT) award funds the development and delivery of interdisciplinary quantum science education and training services. The program creates new courses and hands-on learning experiences...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded the University of Arizona a $477,555 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) beginning April 1, 2026 and concluding March 31, 2031. The award supports the CAREER: SQALE (Scalable Quantum Architectures with LDPC Error-Correction) initiative, which addresses fundamental challenges in quantum computing through research...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a five-year CAREER grant of $550,000 to the University of Colorado, effective July 1, 2025, through June 30, 2030. Under the NSF Engineering program (CFDA 47.041), this project grant supports the development and experimental demonstration of Fourier qubits—novel superconducting quantum circuits designed to enhance the reliability and error protection of quantum...
- Federal Project Grant Award Summary Texas A&M University received a $315,758 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2030. The grant supports theoretical research and education on quantum many-body dynamics, specifically investigating the hidden quantum state evolution that persists beyond thermalization in...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University received a $413,253 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070), awarded April 1, 2026, with a completion date of March 31, 2031. This CAREER award supports fundamental research and algorithm development for learning quantum states in practical, noise-affected environments. The project delivers theoretical frameworks and robust...
- 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 support the development of a verifiable quantum compiler that integrates formal methods to enable fault-tolerant quantum computing. The $500,000 award, with a period of performance from September 1, 2024 to August 31, 2028, will fund research to optimize the translation of quantum algorithms into fault-tolerant...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded a CAREER grant of $337,566 to the Research Foundation of the City University of New York (RFCUNY), effective June 1, 2026, through May 31, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project develops practical security solutions for cloud-based quantum computers by addressing novel security vulnerabilities introduced when...
The University of Texas at Austin received a $412,008 CAREER (Faculty Early Career Development) Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 15, 2026, through August 31, 2031. This award funds research on co-designing compilers and quantum computing architectures to advance fault-tolerant quantum computing systems. The project addresses a critical challenge in quantum computing: the inherent vulnerability of qubit devices to computational errors, which currently prevents practical execution of most quantum algorithms despite the availability of hundreds to thousands of qubit devices. The research is organized into three primary thrusts designed to reduce error impacts through fault-tolerant program execution. The first thrust develops automated and optimized program compilation methods, including application-specific instructions and resource optimization for fault-tolerant operations on large-scale quantum systems. The second thrust advances qubit control architectures to improve real-time instruction scheduling and error correction, focusing on resource-efficient quantum error correction codes and hardware-software co-design techniques to address non-trivial errors such as hardware defects and qubit losses. The project deliverables will enable quantum computing applications across critical domains including chemistry, physics, cryptanalysis, machine learning, and drug discovery by establishing methodologies and architectures that enhance quantum computational reliability and scalability.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $412.0k | 3/30/26 |