| 一种量子竞争学习算法 |
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| 引用本文： | 解光军,庄镇泉. 一种量子竞争学习算法[J]. 量子电子学报, 2003, 20(1): 42-46 |
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| 作者姓名： | 解光军 庄镇泉 |
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| 作者单位： | 中国科技大学量子通讯与量子计算实验室,合肥,230026;合肥工业大学应用物理系,合肥,230009;中国科技大学量子通讯与量子计算实验室,合肥,230026 |
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| 基金项目： | 国家自然科学基金(60171029)资助 |
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| 摘 要： | 量子计算（Quantum Computation）以其独特的性能引起广泛瞩目。本文尝试将量子计算与传统的神经计算结合起来,通过设计若干个量子算子来构造Hamming神经网络的量子对照物,从而提出一种量子竞争学习算法（Quantum Competitive Learning Algorithm,QCLA）,它能够实现模式分类和联想记忆。
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| 关 键 词： | 量子学习 量子计算 Hamming神经网络 量子神经计算 |
| 文章编号： | 1007-5461(2003)01-0042-05 |
| 收稿时间： | 2002-02-28 |
| 修稿时间： | 2002-02-28 |
A Quantum Competitive Learning Algorithm |
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| Xie Guangjun,Zhuang Zhenquan. A Quantum Competitive Learning Algorithm[J]. Chinese Journal of Quantum Electronics, 2003, 20(1): 42-46 |
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| Authors: | Xie Guangjun Zhuang Zhenquan |
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| Abstract: | Quantum computation is well known for its particular computational performance. In this paper, we try to combine quantum computation with classical neural computation, through designing several quantum operators we construct the quantum counterpart of Hamming neural network, and put forward a quantum competitive learning algorithm to realize functions of pattern classification and associative memory. |
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| Keywords: | quantum learning quantum computation Hamming neural network quantum neural computation |
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