Project Grant 2529338
- Federal Project Grant Award Summary Rutgers, The State University has been awarded $266,000 under a Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070: Computer and Information Science and Engineering program). The award, effective May 1, 2026 through April 30, 2029, supports collaborative research on formally verified and performance-optimized tensor contraction sequences used in quantum many-body computations. The research team...
- This $798,712 federal Project Grant award was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Rutgers, The State University of New Jersey. The goal of this 3-year project is to develop innovative computational methods that integrate classical and quantum algorithmic tools within the fields of statistics and operations research. The research aims to create quantum-enhanced algorithms for decision-making under...
- Rutgers, The State University was awarded a $492,576 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from August 2021 through July 2024 to tackle mapping and scheduling problems for quantum program compilation. The Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and information science...
- Federal Grant Award Summary This collaborative research project grant of $314,460, awarded August 1, 2025, by the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), supports theoretical and computational modeling research aimed at advancing the mechanics of quantum materials through deformation and coupled field interactions. The project, extending through July 31, 2028, is being conducted at Rutgers, The...
- Federal Project Grant Award Summary This collaborative research project, funded by the National Science Foundation's (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), represents a $471,864 investment in quantum computing workforce development. Awarded to the University of California, San Diego on August 15, 2025, with a completion date of July 31, 2029, the project delivers an integrated training platform...
- 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 Project Grant Award Summary The University of Delaware received a $197,458 planning grant award dated August 15, 2025, 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). This planning grant supports the conceptualization and design of hybrid quantum-classical algorithmic pipelines tailored for optimization and machine learning applications. Primary deliverables...
- Federal Grant Award Summary The University of Massachusetts received a $540,000 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025 through September 30, 2028. This award funds development of a comprehensive full-stack framework for designing and optimizing control policies for distributed quantum systems. The primary deliverables...
- Federal Project Grant Summary Rensselaer Polytechnic Institute received a $528,132 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), awarded August 15, 2025, with completion targeted for July 31, 2029. The award supports a collaborative research initiative to develop an integrated quantum computing education and workforce development platform designed to address the national shortage of qualified quantum...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded $499,999 to Stony Brook University on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on quantum inference using Pauli measurements. The project, slated for completion by June 30, 2030, will deliver fundamental research establishing the information-theoretic limits and practical...
Rutgers, The State University received a $599,878 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective June 1, 2026, through May 31, 2029. The award supports the development of a scalable, modular, open-source quantum compiler designed to optimize quantum circuits across logical and physical layers, hardware mapping, resource management, and error mitigation. The compiler centers on four structured circuit forms—phase polynomials, phase gadgets, symbolic Pauli gates, and linear reversible circuits—and integrates optimization with routing and device constraints for superconducting, trapped-ion, and neutral-atom quantum hardware platforms. The project delivers cross-stack compiler infrastructure incorporating new intermediate representations for circuit structure optimization, artificial intelligence-assisted methods including reinforcement learning and diffusion-style generative models, and heuristic search techniques to guide synthesis and reliability-aware optimization. This deliverable addresses a critical gap in quantum computing accessibility by translating theoretical quantum algorithms into practical, hardware-compatible instructions that can run on real quantum machines, thereby broadening quantum computing adoption beyond specialized physics and computer science communities and supporting U.S. leadership in quantum technology development.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $599.9k | 6/30/26 |