The decision-making capabilities of artificial intelligence (AI) technology could be enhanced using quantum physics, researchers from the Austrian Academy of Sciences, the University of Innsbruck and the Complutense University in Madrid claim in a recently-published paper in the journal Physical Review X.
In the study, physical theorist Hans Briegel from the Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences and the Institute for Theoretical Physics at the University of Innsbruck, and colleagues from the Complutense University Institute for Theoretical Physics have demonstrated that the principles of quantum theory could help AI agents speed up decision-making processes based on previous experiences.
Furthermore, their research also provides robots and autonomous machines with a quadratic speed-up for active learning in situations where the AI agent actively explores its environment. This is beneficial, as future agents are expected to be increasingly flexible and able to work intelligently by learning from prior experience, and able to react automatically to their surroundings as they begin to assume an increasing variety of tasks in our world.