NASA’s QuAIL team aims to demonstrate that quantum computing and quantum algorithms may someday dramatically improve the agency’s ability to solve difficult optimization problems for missions in aeronautics, Earth and space sciences, and space exploration.
- Support structure for installation of the D-Wave Vesuvius processor, which is cooled to 20 millikelvin (near absolute zero).
The hope is that quantum computing will vastly improve a wide range of tasks that can lead to new discoveries and technologies, and which may significantly change the way we solve real-world problems.
Beginning with the D-Wave Two™ quantum computer, NASA’s QuAIL team is evaluating various quantum computing approaches to help address NASA challenges. Initial work focuses on theoretical and empirical analysis of quantum annealing approaches to difficult optimization problems.
The research team is also studying how the effects of noise, imprecision in the quantum annealing parameters, and thermal processes affect the efficacy and robustness of quantum annealing approaches to these problems. Over the next five years, the team will also develop quantum AI algorithms, problem decomposition and hardware embedding techniques, and quantum-classical hybrid algorithms.
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