Project Grant 2533522
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering program (CFDA 47.070) for the period July 1, 2026 through June 30, 2029. The project, titled "A Heterogeneous System Approach Toward Early Fault-Tolerant Quantum Computing," develops innovative quantum error correction (QEC)...
- 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...
- Federal Grant Award Summary The University of California, San Diego received a $468,145 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) to conduct research on quantum advantage in low-depth quantum circuits. The award period runs from April 1, 2026 through March 31, 2031. The research project will develop new mathematical techniques and lower bound methods to...
- 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 National Science Foundation's Division of Computer and Network Systems has awarded $134,997 to UCLA under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program to support collaborative research on optimized detection and localization of events in quantum sensor networks (QSNs). Initiated October 1, 2025, and extending through September 30, 2029, this project addresses fundamental scientific challenges in developing efficient...
- Federal Grant Award Summary The University of Arizona received a $600,000 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) for the period July 1, 2026 through June 30, 2029. The award funds research into enhanced quantum reservoir computing through non-Markovian environments, investigating whether a single atom interacting with light inside a waveguide can...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded a $275,000 project grant to the University of California, Davis, effective August 1, 2025, through July 31, 2027, under the Mathematical and Physical Sciences program (CFDA 47.049). This award supports fundamental research on quantum states of matter, topological invariants, and spectral gaps—investigating the mathematical and physical properties of specially entangled quantum systems that...
- 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...
- 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 Award Summary Rice University received a $599,360 Project Grant from the National Science Foundation's (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective July 1, 2026 through June 30, 2029. The project, "Foundations of Quantum Hardness: On the Power of Quantum Proofs and the Approximability of Local Hamiltonians," will deliver research outputs investigating the...
The National Science Foundation's Division of Information and Intelligent Systems awarded $600,000 through the Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Irvine for a three-year project (July 1, 2026–June 30, 2029) titled "Quantum Algorithms for Constructing Ground and Gibbs States." This project develops and analyzes quantum algorithms designed to prepare ground states and thermal (Gibbs) states of local Hamiltonians, with particular emphasis on dissipative (Lindbladian) methods. The research will establish convergence conditions for quantum Gibbs sampling algorithms, extend performance guarantees across broader classes of quantum systems and temperature regimes, and create implementations suitable for both fault-tolerant and near-term (NISQ) quantum computing devices. The deliverables encompass theoretical advances in quantum algorithm design, convergence analysis combining quantum information theory with spectral analysis and classical Markov chain theory, and practical implementations optimized for current-generation quantum hardware. The project also investigates noise-resilient techniques and ground state preparation methods inspired by classical tensor network approaches. These research outputs will advance quantum state preparation capabilities, enabling improved quantum simulation of materials and chemical systems with applications spanning materials design, fundamental physics research, and quantum computing workforce development.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 6/30/26 |