This Project Grant award of $105,767, funded by the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to develop new quantum algorithms and schemes to extend the capabilities of quantum devices and apply them to challenging problems in heavy-element computational chemistry. The research focuses on improving the accuracy of ground and excited state calculations for molecules containing lanthanides and actinides, which currently lie beyond the...
This $299,990 federal Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical and Physical Sciences (CFDA 47.049) supports the development, analysis, and deployment of Quantum Digital Twins (QDTs) - digital clones of existing quantum computers. The project aims to enable bidirectional interactions between quantum computers and virtual models on classical systems, optimizing quantum performance and advancing quantum information science and technology. Key...
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 $339,166 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research by Indiana University to develop "Engineered Global Gates for Advanced Simulations of Quantum Materials and Chemistry." The project aims to expand the types of physical systems that can be studied using analog quantum emulation by engineering customized laser beam protocols to generate entanglement between trapped ion...
This $133,485 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting the development of a quantum computing training curriculum for undergraduate, graduate students, and researchers in materials science and chemistry. The project, led by Arizona State University, is creating educational resources covering quantum computing fundamentals, quantum simulations, and quantum machine learning. This...
This Project Grant award of $119,159 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) supports the development of scalable formal verification methods for quantum software at North Dakota State University (NDSU). The project aims to ensure the correctness and reliability of safety-critical and security-critical quantum applications, where errors or vulnerabilities could lead to catastrophic outcomes. The...
This $607,310 federal Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant, titled "Quantum Blueprint: Optimizing Analog Pathways in Diverse Scientific Realms (Q-BLUE)", supports a three-part effort to advance quantum computing through: (1) analog quantum hardware development, (2) an optimized compilation process, and (3) research in quantum chemistry, condensed matter physics, and...
The National Science Foundation (NSF) awarded a $597,576 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to Marquette University to research quantum molecular dynamics on quantum computers. The project, titled "EXPANDQISE: TRACK 1: QUANTUM MOLECULAR DYNAMICS ON QUANTUM COMPUTERS," has three main thrusts:
Further development and application of the Quantum Annealer Eigensolver (QAE) algorithm to calculate molecular spectra and reactivity on D-Wave...
This $600,000 Project Grant from the National Science Foundation's Division of Chemistry, under the Mathematical and Physical Sciences program (CFDA 47.049), will support research into practical strategies for implementing quantum chemistry on near-term quantum computers. James Freericks of Georgetown University and Dominika Zgid of the University of Michigan will collaborate to develop hybrid quantum-classical methodologies to run important parts of calculations on noisy intermediate-scale...
This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) project grant award to the University of North Texas (UNT) provides $300,748 in funding over 5 years (4/1/2024 - 3/31/2029) to develop computational models and design rules for optimizing the performance of quantum defect-based qubits. The key objectives are to: 1) create orbital-based descriptors to predict and optimize electron-phonon coupling and spin dynamics in defect-based quantum systems, and 2)...