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Implementing associative memory with quantum neural networks

机译:使用量子神经网络实现关联内存

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In this paper an attempt is made to implement associative memory with quantum neural networks. The quantum algorithms for the storage of pattern and the retrieval of information are presented. It is shown that the capacity and the processing speed of the quantum neural network increase exponentially compared to the conventional model. The neural computing method for the calculation of quantum entanglement is also discussed.
机译:在本文中,尝试使用量子神经网络实现关联存储器。提出了用于存储模式的量子算法和信息的检索。结果表明,与传统模型相比,量子神经网络的容量和处理速度增加。还讨论了用于计算量子缠结计算的神经计算方法。

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