Project Grant 2515049
- This $450,000 Project Grant awarded by the National Science Foundation (NSF) Division of Physics under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a new class of ultra-high-performance quantum memories. The project integrates symmetry principles into all aspects of quantum memory design and decoding through three coordinated thrusts: 1) developing capacity-achieving low-density parity-check (LDPC) codes for biased noise, 2) investigating...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to President and Fellows of Harvard College. The grant, with a period of performance from January 15, 2025 to May 12, 2025, aims to address critical gaps in understanding the capabilities of noisy quantum devices, particularly in the near and medium term. The key research focus areas include: 1) developing methods to demonstrate quantum advantage in...
- This $150,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences supports research to develop quantum algorithms for modeling human dynamics and enhancing threat detection capabilities. The award, effective September 1, 2023 through August 31, 2026, aims to harness the power of quantum computing to improve upon classical computational methods for analyzing spatio-temporal human behavior data. The proposed framework can be used to discover anomalies...
- The National Science Foundation (NSF) awarded a $450,000 Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to Duke University for research on "Fault-Tolerant Quantum Error Correction Beyond Foliation" from September 1, 2025 to August 31, 2028. The project aims to address the limitations of current quantum computers by improving the practical application of quantum error correction techniques. The research will focus on computational errors...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant to Virginia Polytechnic Institute & State University (Virginia Tech) under the Mathematical and Physical Sciences grant program (CFDA 47.049). The grant supports the development of more agile erasure recovery and repair methods for distributed storage, faster and more secure frameworks for distributed computing, and fault-tolerant quantum error correction. The research aims to build on the investigators' expertise in...
- The National Science Foundation (NSF) awarded a $140,044 CAREER grant to Northwestern University under the Mathematical and Physical Sciences (CFDA 47.049) program. This 1-year project, running from February 2025 to February 2026, supports basic research into developing a novel quantum reservoir engineering framework and leveraging it for entanglement generation in noisy quantum systems. The goal is to produce desired entangled states of qubits, which are critical for scalable and robust quantum...
- The National Science Foundation (NSF) awarded a 3-year, $256,000 Project Grant under the Division of Physics' Mathematical and Physical Sciences program (CFDA 47.049) to Michigan State University to research methods for improving the performance of quantum computing algorithms for quantum state preparation. The project will explore preconditioning methods, sampling techniques, and reducing systematic errors to accelerate the Rodeo quantum computing algorithm, using the 2D Heisenberg model as a...
- The National Science Foundation (NSF) Division of Physics awarded a $137,548 Project Grant to the University of New Mexico (UNM) under the Mathematical and Physical Sciences program (CFDA 47.049). The 3-year grant, running from September 1, 2023 to August 31, 2026, will fund research to deepen the understanding of quantum computational advantage. Specifically, the project seeks to explore the interplay between entanglement, measurement, and quantum many-body physics in the context of "noisy...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of Michigan. The grant will fund a project titled "Extracting Spectral Information from Noisy Quantum Data" from October 1, 2023 to September 30, 2026. The project aims to develop methodologies for reducing noise and improving accuracy in quantum mechanical simulations on quantum computers, in order to enable more...
- This three-year National Science Foundation Project Grant of $284,063 supports collaborative research on advances in quantum control and noise mitigation through the Mathematical and Physical Sciences program (CFDA 47.049). The University of New Mexico will utilize its highly accurate quantum processor based on cesium atom spin states to experimentally test new techniques for quantum control and error mitigation. Key research areas include simulating deep quantum circuits and Floquet systems,...
The National Science Foundation (NSF) awarded a $330,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Johns Hopkins University to address the fundamental challenge of designing quantum algorithms with inherent noise robustness. The research team aims to develop a theoretical framework based on dynamical Lie algebras to characterize the propagation of noise through variational quantum algorithms (VQAs). The goal is to identify algorithmic motifs inspired by dynamical decoupling and noise-filtering protocols to suppress symmetry-preserving errors, and complement these techniques with quantum error-avoiding codes to address symmetry-breaking noise. The project, with a period of performance from August 15, 2025 to July 31, 2028, seeks to maximize algorithmic performance while minimizing gate and qubit resources to maintain practicality for existing and near-future quantum processors.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $330.0k | 8/15/25 |