The Quantum Computing for Computational Chemistry (QC3) program aims to develop quantum algorithms to revolutionize diverse areas of energy research, such as designing new and sustainable industrial catalysts, discovering new superconductors for more efficient electricity transmission, and developing improved battery chemistries.
“Computer simulations of chemistry and materials drive energy R&D, but classical computing has limits on the complexity it can replicate,” said ARPA-E Director Evelyn N. Wang. “QC3 projects will harness the power of quantum computing to exceed those limits and provide researchers with the tools to solve high-impact problems in energy.”
The QC3 program strives to advance ARPA-E’s mission by developing, optimizing, and co-designing quantum solutions to some of the most urgent challenges in energy. Each project team will identify a specific problem in chemistry or materials science where a quantum solution, if scalable and generalizable, can lead to significant energy impact or reduction in greenhouse gas emissions.
These quantum simulations will achieve breakthrough performance through software optimization across the computational “stack” of applications, software, and hardware. Each project team must achieve a 100x improvement over classical methods or show a scalable approach to doing so and be validated on available quantum computer hardware.