用于人工智能自然语言处理的多量子位控制非门

F. Ablayev, S. Andrianov, N. S. Andrianova, A. Kalachev, A. Vasiliev
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引用次数: 0

摘要

使用量子神经网络,包括具有多个控制量子比特和单个目标量子比特的多量子比特控制非门,可以有效地进行自然语言处理。本文提出了一种基于腔内多波混频过程的光子多量子位控制非门。采用输入-输出形式构造了这种多量子位门的理论。找出了闸门成功运行必须满足的参数匹配条件。为构建能够解决自然语言处理中各种实际问题的量子神经网络提供了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-qubit controlled NOT gates for artificial intelligence natural languages processing
Natural language processing is efficient using quantum neural networks including multiqubit controlled NOT gates with multiple control qubits and a single target qubit. We propose here a photonic miltiqubit controlled NOT gate based on a multi-wave mixing process in a cavity. Theory of such a multiqubit gate is constructed using input-output formalism. Parameters matching condition is found that must be fulfilled for successful gate operation. Recommendations are given for the construction of quantum neural networks that are able to solve various practical problems of natural language processing.
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