Project Grant 2301120
- This $250,000 Project Grant from the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (CFDA 47.049) supports research at the University of Texas at El Paso (UTEP) to investigate methods for efficiently creating entanglement between multiple qubits for quantum computing. The project aims to develop new multi-qubit entangling gates that can reduce the complexity of quantum circuits and expand the practical applications of current quantum hardware, which is...
- 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...
- This $350,000 Project Grant award from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (CFDA 47.070) supports research by the New York Institute of Technology (NYIT) to develop analog quantum algorithms for studying the non-Markovian dynamics of multi-qubit systems. The research aims to advance the capabilities for modeling open quantum systems, which is critical for harnessing the potential of quantum information processing. Key technical objectives...
- This $119,999 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to improve techniques for "circuit cutting" - breaking down large quantum computing tasks into smaller, more manageable pieces. The project aims to explore advanced methods for accurately recombining the solutions to these smaller tasks, enabling more reliable and effective quantum computing capabilities. Key research focus...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) will support the development of a new hybrid continuous-discrete variable quantum network architecture and associated models, algorithms, and protocols. The key objectives are to enable high-rate, high-fidelity distribution of quantum entanglement resources for quantum computing, sensing, and communication applications. The 3-year...
- 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 $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations (CFDA 47.070 "Computer and Information Science and Engineering") to The Pennsylvania State University (Penn State) will support the development of an integrated framework for optimally controlling open quantum systems. The project aims to establish a comprehensive mathematical model to characterize the dynamics of quantum systems interacting with their...
- 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...
- This federal Project Grant award, valued at $418,198.00, was jointly funded by the National Science Foundation's (NSF) Directorate for Mathematical and Physical Sciences and Directorate for Computer and Information Science and Engineering. The award, titled "EXPANDQISE: TRACK 1: QUANTUM COMPILATION: ELEVATING PERFORMANCE AND SCALABILITY WITH INPUT ADAPTIVITY AND MACHINE LEARNING," aims to address critical challenges in efficient qubit routing for quantum computing. The key products and...
- This National Science Foundation Project Grant of $135,000 supports research toward universal quantum computing with integrated quantum optical frequency combs through August 2025. Funded under the Engineering program (CFDA 47.041), this award to the University of Virginia will support collaborative research to demonstrate generation of continuous variable cluster states and Gottesman-Kitaev-Preskill grid states on a photonic chip. Key objectives are to realize a chip-scale quantum state...
This $399,995 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will fund research at the University of Tennessee to optimize quantum circuit design through the Quantum Approximate Optimization Algorithm (QAOA). Specifically, the award will support investigating a modification to QAOA called MA-QAOA, which expands the number of parameters used to allow for additional degrees of freedom and increase the likelihood of more quickly finding optimal solutions to complex combinatorial optimization problems. The objectives are to determine how many QAOA iterations are needed to achieve results comparable to MA-QAOA for specific instances, use machine learning to optimally select MA-QAOA parameters, design efficient circuits to implement MA-QAOA using graph theory techniques, and determine the physical significance of incorporating additional parameters. This research could help develop new techniques for solving currently intractable problems across diverse applications like operations research and computer science.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 10/13/22 |