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Non-Temporal Logic Performance of an Atomic Switch Network

机译：原子交换网络的非时间逻辑性能

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Efforts to achieve a low-power, dynamically complex system become crucial as CMOS fabrication limits are realized. Atomic Switch Networks (ASNs) provide fabrication advantages over traditional CMOS through the combination of top-down and bottom-up techniques, leading to densely interconnected networks of atomic switches. ASNs show emergent behaviors through the interaction of individual non-linear elements. These properties make ASNs suitable for alternative computational paradigms, such as neuromorphic or reservoir computing. This work examined ASNs' ability to perform Boolean logic operations using non-temporal inputs based on randomized Boolean input streams. Zero and one bits were converted to negative and positive DC voltage pulses, respectfully. Next, a linear readout layer was applied to an array of voltage outputs from the device to reconstruct target output signals for the given task. ASNs produced nearly perfect results at low voltages for AND, OR, and NAND with more than 95% confidence. XOR, which requires non-linearity to solve, was able to be partially solved at high voltages with more than 95% confidence. As opposed to previous works which have investigated temporal computation in ASNs, this work was the first to demonstrate semi-predictable, non-temporal, non-linear behavior within the device. Results demonstrated that the device connectivity is complete enough to perform complex computations.
机译：努力实现低功耗，动态复杂的系统变得至关重要，因为实现了CMOS制造限制。原子开关网络（ASNS）通过自上而下和自下而上的技术的组合来提供传统CMOS的制造优势，从而导致互连的原子开关网络。 ASN通过各个非线性元素的相互作用表示紧急行为。这些属性使ASN适用于替代计算范例，例如神经形态或储层计算。这项工作检测了ASNS'使用基于随机布尔输入流的非时间输入执行布尔逻辑操作的能力。零点和一个比特被转换为负极和正直流电压脉冲。接下来，将线性读出层应用于来自设备的电压输出阵列以重建给定任务的目标输出信号。 ASN在低电压下产生几乎完美的结果，或者，和Nand的置信度超过95％。 XOR需要非线性解决，能够在高电压下部分解决，置信超过95％。与以前的作品相反，在ASN中调查了时间计算，这项工作是第一个在设备中展示半可预测的非线性非线性行为。结果表明，设备连接足以执行复杂计算。

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