This $450,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports an interdisciplinary collaboration between researchers at the University of California, Los Angeles (UCLA) Computer Science Department and Harvard University Physics Department to develop a novel compiler for Dynamically Reconfigurable Atom Arrays (DRAAs), an...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $500,000 over 4 years to the University of California, Los Angeles (UCLA) to develop a verifiable quantum compiler that integrates formal methods with quantum computing. The project aims to advance fault-tolerant quantum computing by automating the generation of fault-tolerant quantum programs and ensuring their accuracy...
The National Science Foundation awarded a $472,639 Project Grant to the University of California, Los Angeles under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports research exploring open channel operations using atomic qubits as processing and measurement resources. Specifically, the university will study how dissipation and thermal light sources can be leveraged to cool and control single atoms for quantum information applications. Researchers will address...
The National Science Foundation (NSF) Division of Physics awarded a $692,351 Project Grant to the University of California, Los Angeles (UCLA) under the Mathematical and Physical Sciences program (CFDA 47.049) to develop and characterize new techniques using lasers to measure and control the quantum mechanical state of individual trapped and isolated molecules. The three-year grant, awarded on July 15, 2023, will support Professor David Leibrandt and his research group in constructing a new...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will enable the Massachusetts Institute of Technology (MIT) to build an advanced quantum computing laboratory. The laboratory will create and fault-tolerantly measure many-body quantum states, with the goal of demonstrating practical quantum advantages for problems in chemistry, materials, and physics. The project will make significant advances in atomic...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund collaborative research to develop scalable quantum computing systems. The project aims to interconnect multiple quantum processing units (QPUs) with limited qubit capacity into a scalable "virtual quantum machine" (VQM) with far greater qubit capabilities. The research will investigate fundamental qubit entanglement and...
The National Science Foundation (NSF) awarded a $1,149,999 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to the University of Massachusetts (UMass) Amherst. This 3-year grant, effective July 1, 2024, will fund the development of an open-source ecosystem of modeling tools for quantum hardware. The project aims to democratize access to quantum technology by creating user-friendly tools that allow researchers to model quantum systems...
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...
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 awarded a two-year $100,000 Project Grant to the University of California, Santa Barbara under the Engineering (47.041) federal grant program. The grant will support research into developing new approaches for vertically coupling and cross-talk shielding of superconducting quantum devices. Specifically, the university researchers will fabricate high-quality Josephson junction arrays and link them vertically via microwave waveguide arrays. This innovative...
The National Science Foundation (NSF) awarded a $630,000 Project Grant under its Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Los Angeles (UCLA) Office of Research Administration. The grant will fund a collaborative research project between UCLA's Computer Science Department and Harvard University's Physics Department focused on developing novel compilation methods for Dynamically Reconfigurable Atom Arrays (DRAAs) - an emerging quantum computing hardware platform.
Key objectives of the 3-year project include: (1) scalable compilation techniques to efficiently map, schedule, and coordinate atom movement for DRAA systems with hundreds to tens of thousands of atoms; (2) optimization of the DRAA's cache-based architecture to enable efficient data reuse and movement; (3) customized error correction methods that leverage DRAA's unique properties; and (4) selective error correction under resource constraints. The research team will test the compilation algorithms and flow experimentally on DRAA quantum computers developed at Harvard. The project also aims to integrate the research with educational initiatives to train students in quantum computing and large-scale design automation.