Quantum Mechanics Helps in Learning for More Intelligent Robots
DONG Dao-Yi, CHEN Chun-Lin, CHEN Zong-Hai, ZHANG Chen-Bin
Department of Automation, University of Science and Technology of China, Hefei 230027
Quantum Mechanics Helps in Learning for More Intelligent Robots
DONG Dao-Yi;CHEN Chun-Lin;CHEN Zong-Hai;ZHANG Chen-Bin
Department of Automation, University of Science and Technology of China, Hefei 230027
关键词 ：
03.67.Lx ,
03.65.-w ,
02.70.-c
Abstract ： A learning algorithm based on the state superposition principle is presented. The theoretical analysis shows that the needed fundamental transformations to realize this algorithm are the same as those needed in the Grover algorithm and are within current state-of-the-art technology. The simulated experiment shows that the quantum learning algorithm can help robots to learn faster and to become more intelligent.
Key words ：
03.67.Lx
03.65.-w
02.70.-c
出版日期: 2006-07-01
:
03.67.Lx
(Quantum computation architectures and implementations)
03.65.-w
(Quantum mechanics)
02.70.-c
(Computational techniques; simulations)
引用本文:
DONG Dao-Yi;CHEN Chun-Lin;CHEN Zong-Hai;ZHANG Chen-Bin. Quantum Mechanics Helps in Learning for More Intelligent Robots[J]. 中国物理快报, 2006, 23(7): 1691-1694.
链接本文:
https://cpl.iphy.ac.cn/CN/
或
https://cpl.iphy.ac.cn/CN/Y2006/V23/I7/1691
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2006, Vol. 23 
