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首页> 外文期刊>Applied Nanoscience >A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata
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A dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata

机译：动态可重构逻辑单元：从人工神经网络到量子点细胞自动机

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Considering the lack of optimization support for Quantum-dot Cellular Automata, we propose a dynamically reconfigurable logic cell capable of implementing various logic operations by means of artificial neural networks. The cell can be reconfigured to any 2-input combinational logic gate by altering the strength of connections, called weights and biases. We demonstrate how these cells may appositely be organized to perform multi-bit arithmetic and logic operations. The proposed work is important in that it gives a standard implementation of an 8-bit arithmetic and logic unit for quantum-dot cellular automata with minimal area and latency overhead. We also compare the proposed design with a few existing arithmetic and logic units, and show that it is more area efficient than any equivalent available in literature. Furthermore, the design is adaptable to 16, 32, and 64 bit architectures.
机译：考虑到缺乏对量子点元胞自动机的优化支持，我们提出了一种动态可重构逻辑单元，该单元能够通过人工神经网络来实现各种逻辑运算。通过改变连接的强度（称为权重和偏置），可以将该单元重新配置为任何2输入组合逻辑门。我们演示了如何适当地组织这些单元以执行多位算术和逻辑运算。拟议的工作很重要，因为它以最小的面积和等待时间开销为量子点蜂窝自动机提供了8位算术和逻辑单元的标准实现。我们还将拟议的设计与一些现有的算术和逻辑单元进行了比较，并表明它比文献上提供的任何等效方法都具有更高的面积效率。此外，该设计适用于16、32和64位体系结构。

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