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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 |
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| Cite this article: |
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DONG Dao-Yi, CHEN Chun-Lin, CHEN Zong-Hai et al 2006 Chin. Phys. Lett. 23 1691-1694 |
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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.
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| Keywords:
03.67.Lx
03.65.-w
02.70.-c
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Published: 01 July 2006
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| PACS: |
03.67.Lx
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(Quantum computation architectures and implementations)
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03.65.-w
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(Quantum mechanics)
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02.70.-c
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(Computational techniques; simulations)
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