%0 Journal Article
%A Paparo, Giuseppe Davide 
%A Dunjko, Vedran
%A Makmal, Adi
%A Martín-Delgado Alcántara, Miguel Ángel
%A Briegel, Hans J.
%T Quantum speedup for active learning agents
%D 2014
%@ 2160-3308
%U https://hdl.handle.net/20.500.14352/35595
%X Can quantum mechanics help us build intelligent learning agents? A defining signature of intelligent behavior is the capacity to learn from experience. However, a major bottleneck for agents to learn in reallife situations is the size and complexity of the corresponding task environment. Even in a moderately realistic environment, it may simply take too long to rationally respond to a given situation. If the environment is impatient, allowing only a certain time for a response, an agent may then be unable to cope with the situation and to learn at all. Here, we show that quantum physics can help and provide a quadratic speedup for active learning as a genuine problem of artificial intelligence. This result will be particularly relevant for applications involving complex task environments.
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