A quantum model for autonomous learning automata

摘要: The idea of information encoding on quantum bearers and its quantum-mechanical processing has revolutionized our world brought mankind the verge enigmatic era technologies. Inspired by this idea, in present paper, we search for advantages field machine learning. Exploiting only basic properties Hilbert space, superposition principle mechanics measurements, construct a analog Rosenblatt's perceptron, which is simplest learning machine. We demonstrate that perceptron superior to classical counterpart capabilities. In particular, show able learn an arbitrary (Boolean) logical function, perform classification previously unseen classes even recognize superpositions learned classes--the task high importance applied medical engineering.