在CAM-brain机器上实现了可逆级联

A. Buller, M. Perkowski
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引用次数: 0

摘要

本文提出了一种基于三维元胞自动机的可逆级联进化新方法。作为研究平台,我们使用了ATR的CAMBrain Machine (CBM)。研究可逆电路是因为它们比不可逆电路消耗更少的能量。有一天,它们将被实现为纳米级三维芯片。如果电路的输入数量等于输出数量,并且输入向量和输出向量的空间之间存在一对一的映射,则电路是可逆的。本文提供:(1)简要介绍了可逆逻辑,重点讨论了Feynman、Toffoli、Fredkin门的定义和性质;(2)三维元胞逻辑机(CLM)的介绍,这是一个具有冻结和脉冲状态变量的元胞自动机;(3)利用神经迷宫3.0 Pro(一种用于CBM风格结构计算机辅助设计的软件工具),利用专用遗传算法进化并定位在CBM中的可逆结构集合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolved reversible cascades realized on the CAM-brain machine
This paper presents a new approach to reversible cascade evolution based on a 3D cellular automaton. As a research platform we used the ATR's CAMBrain Machine (CBM). Reversible circuits are investigated because they are expected to dissipate much less energy than their irreversible counterparts. One day they will be implemented as nano-scale 3-dimensional chips. A circuit is reversible if the number of its inputs equals the number of its outputs and there is a one-to-one mapping between spaces of input vectors and output vectors. This paper provides: (1) a brief introduction to reversible logic concentrating on definitions and properties of the Feynman, Toffoli, Fredkin gates; (2) an introduction to the 3D cellular logic machine (CLM) that is a cellular automaton with frozen and pulsing state variables; and (3) a collection of reversible structures evolved using a dedicated GA and located in the CBM using the NeuroMaze 3.0 Pro, a software tool for computer-aided design of CBM-style structures.
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