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A Quantum Associative Memory Based on Grover's Algorithm

机译:基于Grover算法的量子联想存储器

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Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in some cases are exponentially faster than their classical counterparts. The unique characteristics of quantum theory may also be used to create a quantum associative memory with a capacity exponential in the number of neurons. This paper combines two quantum computational algorithms to produce a quantum associative memory. The result is an exponential increase in the capacity of the memory when compared to traditional associative memories such as the Hopfield network. The paper covers necessary high-level quantum mechanical ideas and introduces a quantum associative memory, a small version of which should be physically realizable in the near future.
机译:量子计算使用微观量子能级效应来执行计算任务,并且产生的结果在某些情况下比其经典对应物快几倍。量子理论的独特特征还可以用于创建容量与神经元数量成指数关系的量子关联记忆。本文结合两种量子计算算法来产生一个量子联想记忆。与传统的关联存储器(如Hopfield网络)相比,结果是存储器的容量呈指数增长。本文介绍了必要的高级量子力学思想,并介绍了量子关联存储器,该存储器的一小部分应在不久的将来在物理上实现。

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