(September 19, 2022) Today, the U.S. Department of Energy (DOE) announced $15 million in funding for basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. The projects will address disruptive technology changes from emerging trends in high-end computing, massive datasets, artificial intelligence, and increasingly heterogeneous architectures such as neuromorphic and quantum computing systems. The titles of the quantum computing projects are:
- Novel Quantum Algorithms from Fast Classical Transforms
- Mathematical Methods for Quantum Subspace Diagonalization Algorithms
- Fermionic Quantum Computation: Algorithms and Approximations
- Power of Quantum Witnesses
- A Rational Krylov Approach for Novel Quantum Algorithms
- Quantum Algorithms for Solving Partial Differential Equations in Engineering Sciences
- Quantum Machine Learning for Quantum Sensing
- QFI-Opt: Problem-Aware Optimization in NISQ-Era Hardware for a Metrological Advantage
- Quantum Information Encoding and Decoding for Quantum Sensing
- Quantum Computational Sensing and Edge Coherent Data Processing
- Zero Noise Extrapolation for Quantum Sensing
A press release is available at https://www.energy.gov/science/articles/department-energy-announces-15-million-exploratory-research-extreme-scale-science.