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以通用量子门组(即相移门和受控非门)作为基本的计算单元,构造出全新的量子神经元模型,并由此组成前馈型结构网络.仿真结果表明,就文中算例而言,该量子神经网络的计算性能优于传统的神经网络.
基于量子门组单元的神经网络及其应用
【摘 要】
：
以通用量子门组(即相移门和受控非门)作为基本的计算单元,构造出全新的量子神经元模型,并由此组成前馈型结构网络.仿真结果表明,就文中算例而言,该量子神经网络的计算性能优
【机 构】
：
合肥工业大学理学院
【出 处】
：
系统工程理论与实践
【发表日期】
：
2005年5期
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