桥(图论)
整流器(神经网络)
超导电性
电气工程
物理
计算机科学
工程类
凝聚态物理
医学
随机神经网络
机器学习
循环神经网络
人工神经网络
内科学
作者
Matteo Castellani,Owen Medeiros,Alessandro Buzzi,Reed A. Foster,Marco Colangelo,Karl K. Berggren
出处
期刊:Cornell University - arXiv
日期:2024-06-17
标识
DOI:10.48550/arxiv.2406.12175
摘要
Superconducting thin-film electronics are attractive for their low power consumption, fast operating speeds, and ease of interface with cryogenic systems such as single-photon detector arrays, and quantum computing devices. However, the lack of a reliable superconducting two-terminal asymmetric device, analogous to a semiconducting diode, limits the development of power-handling circuits, fundamental for scaling up these technologies. Existing efforts to date have been limited to single-diode proofs of principle and lacked integration of multiple controllable and reproducible devices to form complex circuits. Here, we demonstrate a robust superconducting diode with tunable polarity using the asymmetric Bean-Livingston surface barrier in niobium nitride micro-bridges, achieving a 43\,\% rectification efficiency. We then realize and integrate several such diodes into a bridge rectifier circuit on a single microchip that performs continuous full-wave rectification up to 3\,MHz and AC-to-DC conversion in burst mode at 50\,MHz with an estimated peak power efficiency of 60\,\%.
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