Quantum technology based robots learn faster

AI technologies are a big part of our lives. The main question is that how fast such machines can learn. Physicians have answered this question, using single protons as robots for the quantum processor. The learning process of such machines is empowered by autonomous ai technologies on one hand and quantum mechanics on the other. It has been also proven that quantum physics can be used in solving real-time problems. Several results have shown that robots deciding faster on their next move, or the design of new quantum experiments using specific learning techniques. Still, they are not able to it fast, which is essential to such powerful machines. Therefore, scientists use a processor made of single protons which are essential particles of light, and then ai machines would memorize the path of these protons. If the machine was supported by a quantum processor, the learning time was much faster than without it. Before using such technologies, in any task robots were rewarded for taking the right option. But now, with quantum technologies, a robot is able to perform the so-called “superposition principle”. In particular, it can imagine what will happen in both of the possible outcomes simultaneously. This reduces the number of trials that need to be undergone by the robot and boosts the learning process. Even though this approach to machine learning is new, it is very promising and so far appears to be successful. By using quantum processors, AI services will become more qualified, efficient, and fast.

Source : https://www.sciencedaily.com/releases/2021/03/210311123432.htm


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