Sunday, October 22, 2017
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Quantum Mechanics to Accelerate Progress in Robotics

Both the classical and the quantum RPS are characterized by their internal Markov chains over the clip space. The procedures the quantum agent performs in order to choose the desired actions are listed.
Both the classical and the quantum RPS are characterized by internal Markov chains over the clip space. The procedures the quantum agent performs  to choose the desired actions are listed.

Researchers from Spain, Austria, and Croatia believe the field of quantum mechanics holds great promise for advancing robotics. Specifically, the researchers believe that integrating quantum physics and artificial intelligence will provide a “quadratic speedup” in robotic learning.

According to the study, many robots are unable to function adequately in “moderately realistic environment” because they simply can’t think fast enough to respond from their surroundings and learn from past experiences. Quantum physics will enable robots to make the best possible decisions, rapidly.

“Building a model is actually a creative act, but conventional computers are no good at it,” says Miguel A. Martín-Delgado, one of the authors of the study. “That is where quantum computing comes into play. The advances it brings are not only quantitative in terms of greater speed, but also qualitative: adapting better to environments where the classic agent does not survive.” Martín-Delgado believes this will ultimately make robots more creative, too.

 

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