This three-year, $284,063 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program will support research into advances in quantum control and noise mitigation using a highly accurate quantum testbed. The University of Arizona, operating through the Arizona Board of Regents, will lead collaborative experimental and theoretical work to develop new techniques for quantum control and shielding quantum devices from noise. Researchers will employ a small,...
The National Science Foundation (NSF) awarded a $350,069 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Rochester to develop an analog quantum simulator for modeling the dynamics of open quantum systems. The objective is to create a platform using semiconductor quantum dots and quantum electronic circuits that can simulate the dissipative dynamics of excitons in molecular systems, such as those found in photosynthetic complexes or Hubbard...
This $299,999 National Science Foundation award under the STEM Education (47.076) program will support Arizona State University in developing quantum machine learning online materials and software modules for undergraduate education. ASU will create interactive content, modules, and software to introduce undergraduates to quantum computing and quantum machine learning. Products include visualization and analysis tools enabling students to experiment with quantum parameters and assess their...
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...
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 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of California, Santa Barbara (UCSB) for $236,459 starting on July 1, 2025. The grant aims to develop a "Quantum Pulse Processing" framework to improve the performance and programmability of Noisy Intermediate-Scale Quantum (NISQ) devices for quantum simulation. The research focuses on integrating advanced...
This National Science Foundation (NSF) Project Grant award, funded under the Mathematical and Physical Sciences (CFDA 47.049) program, supports the development, analysis, and deployment of Quantum Digital Twins (QDTs) - digital clones of existing quantum computers. The $299,990 award to the University of New Mexico aims to enable bidirectional interactions between quantum computers and virtual models on classical systems, optimizing quantum performance and advancing the state of quantum...
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 $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 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,...