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QUANTUM INFORMATION PROCESSOR BASED ON DYNAMIC NEURAL NETWORKS
QUANTUM INFORMATION PROCESSOR BASED ON DYNAMIC NEURAL NETWORKS
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机译:基于动态神经网络的量子信息处理器
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摘要
A Quantum Information Processor (Fig. 1) comprises a series of Nodes (1,2,3,4,5,6,7,8) and another series of edges (9,10,11,12,13,14,15,16,17,18,19,20) which form with the link 21 an Artificial Neural Network (ANN) which supports dynamical transitions at the Nodes and Edges and so is named Dynamic Neural Network (DNN). The quantum states used to represent a qubit may be defined as the signal present at the Nodes 1 and 8 linked by the edge 21.;The Nodes process the signals that arrived via the Edges with a "Sum" operation. The Edges process the signals that goes thru them with a "Multiplication" operation realized via some devices controlled from the exterior of the DNN. Several Unitary Transformations UH will be defined with the aid of the multiplicative devices applied to the Edges to obtain the States' changeset. Intrinsically the DNN could be considered decouple from the environment as a Quantum Information Processor.
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机译:量子信息处理器(图1)包括一系列节点(1,2,3,4,5,6,7,8)和另一系列边缘(9,10,11,12,13,14,15 ,(16,17,18,19,20)与链路21一起形成了人工神经网络(ANN),其支持节点和边缘处的动态过渡,因此被称为动态神经网络(DNN)。可以将用来表示量子位的量子状态定义为存在于通过边21链接的节点1和8上的信号。这些节点通过“求和”运算处理通过边到达的信号。边缘通过“乘法”操作处理通过它们的信号,该操作通过DNN外部控制的某些设备实现。借助于应用于边缘以获取状态变更集的乘法设备,将定义几个Unit变换U H Sub>。本质上,可以将DNN视为量子信息处理器与环境分离。
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