Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Major AI researchers and textbooks define this field as “the study and design of intelligent agents”, in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.
NASA’s Quantum Artificial Intelligence Laboratory (QuAIL) is the space agency’s hub for an experiment to assess the potential of quantum computers to perform calculations that are difficult or impossible using conventional supercomputers.
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.
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.
NASA welcomes researchers at other institutions who are interested in collaborating with the QuAIL team in these areas to contact the QuAIL team.