Suppr超能文献

高性能栅控超导开关:高输出电压与可重复性

High-Performance Gate-Controlled Superconducting Switches: Large Output Voltage and Reproducibility.

作者信息

Ruf Leon, Scheer Elke, Di Bernardo Angelo

机构信息

Department of Physics, University of Konstanz, Universitätsstraße 10, 78464 Konstanz, Germany.

出版信息

ACS Nano. 2024 Jul 26;18(31):20600-10. doi: 10.1021/acsnano.4c05910.

Abstract

Logic circuits consist of devices that can be controlled between two distinct states. The recent demonstration that a superconducting current flowing in a constriction can be controlled via a gate voltage ()─gate-controlled supercurrent (GCS)─can lead to superconducting logic with better performance than existing logics. However, before such logic is developed, high reproducibility in the functioning of GCS devices and optimization of their performance must be achieved. Here, we report an investigation of gated Nb devices showing GCS with very high reproducibility. Based on the investigation of a statistically significant number of devices, we demonstrate that the GCS is independent of the constriction width, in contrast with previous reports, and confirm a strong correlation between the GCS and the leakage current () induced by . We also achieve a voltage output in our devices larger than the typical values reported to date by at least 1 order of magnitude, which is relevant for the future interconnection of devices, and show that can be used as a tool to modulate the operational of devices on a SiO substrates. These results altogether represent an important step forward toward the optimization of reproducibility and performance of GCS devices, and the future development of a GCS-based logic.

摘要

逻辑电路由能够在两种不同状态之间进行控制的器件组成。最近有演示表明,在一个缩颈中流动的超导电流可以通过栅极电压()进行控制——栅极控制超电流(GCS)——这可能会带来比现有逻辑性能更好的超导逻辑。然而,在开发这种逻辑之前,必须实现GCS器件功能的高重现性并优化其性能。在此,我们报告了对显示出具有非常高重现性的GCS的栅控铌器件的一项研究。基于对数量具有统计学意义的器件的研究,我们证明,与之前的报告相反,GCS与缩颈宽度无关,并证实了GCS与由 引起的漏电流()之间存在强相关性。我们还在我们的器件中实现了比迄今报道的典型值大至少1个数量级的电压输出,这对于器件未来的互连是相关的,并且表明 可以用作在SiO衬底上调制器件工作 的一种工具。这些结果共同代表了朝着优化GCS器件的重现性和性能以及基于GCS的逻辑的未来发展迈出的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/194d/11308776/3988892f57cf/nn4c05910_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验