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Recognizing the Pattern of Binary Hermitian Matrices by a Quantum Circuit

机译:通过量子电路识别二元密封矩阵的模式

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The chapter contains a description of quantum circuit for pattern recognition. The task is to distinguish Hermitian and Non-Hermitian matrices. The quantum circuit is constructed to accumulate the elements of a learning set and with use of Hamming distance and some Hamiltonian designed for so-called quantum summing operation it is able to distinguish if a tested element fits to the pattern from the learning set. The efficiency of the this solution is shown in a computational experiment.
机译:本章包含用于模式识别的量子电路的描述。这项任务是区分亨密维亚和非私人矩阵。量子电路被构造成累积学习集的元件,并使用汉明距离和一些设计用于所谓的量子求和操作的Hamiltonian,它能够区分来自学习集的模式。该解决方案的效率显示在计算实验中。

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