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MemComputing: An efficient topological computing paradigm

机译:MemComputing:一种高效的拓扑计算范例

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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是我们介绍的一种新颖的计算范例,该范例利用内存(时间非本地性)在同一物理位置上存储和处理信息。内存可能归因于系统的任何物理属性,无论是自旋,电荷还是原子配置。可以设计成数字的,因此具有可扩展性的内存计算机,可以非常有效地解决硬件和软件方面的复杂问题。我们将介绍它们的数学定义,并提供使用自组织逻辑门(即动态组织以满足其逻辑命题的逻辑门)解决的复杂问题的几个示例。我们还将展示这些机器的功能源自拓扑特征,即实例,它们将相空间中的关键点与不同的索引相连接。具有拓扑特性的数字内存计算机器具有强大的抗噪和抗干扰能力。

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