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MemComputing: an efficient topological computing paradigm

机译:MEMCOMPUTING:有效的拓扑计算范式

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Memcomputing is a novel computing paradigm we have introduced that employs memory (time non-locality) to both store and process information on the same physical location. Memory may be due to any physical property of the system, whether spin, charge or atomic configuration. Digital, hence scalable, memcomputing machines can be designed to solve complex problems very efficiently both in hardware and in software. We will introduce their mathematical definition and provide several examples of complex problems solved using self-organizing logic gates, namely logic gates that organize dynamically to satisfy their logical propositions. We will also show that the power of these machines originates from topological features, instantons, that connect critical points in the phase space with different indexes. Having a topological character, digital memcomputing machines are robust against noise and disorder.
机译:MEMComputing是一种新颖的计算范例,我们引入了在同一物理位置上使用内存(时间非局部性)的存储器(时间非局部性)。存储器可能是由于系统的任何物理性质,无论是旋转,充电还是原子配置。数字,因此可扩展,MEMComputing Machines可以设计为在硬件和软件中非常有效地解决复杂问题。我们将介绍他们的数学定义,并提供使用自组织逻辑门解决的复杂问题的几个例子,即逻辑门,它动态地组织以满足其逻辑命题。我们还将表明,这些机器的力量来自拓扑功能,即将相位空间中的关键点与不同的索引中的临界点连接起源。具有拓扑性格,数字MEMComputing机器对抗噪声和紊乱是稳健的。

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