非赫米拓扑欧姆计

IF 3.8 2区 物理与天体物理 Q2 PHYSICS, APPLIED Physical Review Applied Pub Date : 2024-09-03 DOI:10.1103/physrevapplied.22.l031001
Viktor Könye, Kyrylo Ochkan, Anastasiia Chyzhykova, Jan Carl Budich, Jeroen van den Brink, Ion Cosma Fulga, Joseph Dufouleur
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引用次数: 0

摘要

测量大电阻是绝缘测试等常见应用的重要组成部分,但存在一个基本问题:电阻越大,典型欧姆表的灵敏度就越低。在这里,我们利用非ermitian 矩阵的拓扑特性,开发了一种概念不同的电子传感器,其特征值对扰动的敏感度可达到指数级。欧姆计是在具有非ermitian 传导矩阵的多端线性电子电路中实现的,目标电阻在其中扮演扰动的角色。我们注入多个电流并测量单个电压,从而直接获得电阻值。该装置的相对精度随终端数量的增加而呈指数增长,对于大电阻而言,其精度比标准测量高出一个数量级以上。我们的工作有望为在高精度传感中利用非赫米提电导矩阵铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Non-Hermitian topological ohmmeter
Measuring large electrical resistances forms an essential part of common applications such as insulation testing but suffers from a fundamental problem: the larger the resistance, the less sensitive is a canonical ohmmeter. Here, we develop a conceptually different electronic sensor by exploiting the topological properties of non-Hermitian matrices, the eigenvalues of which can show an exponential sensitivity to perturbations. The ohmmeter is realized in a multiterminal linear electronic circuit with a non-Hermitian conductance matrix, where the target resistance plays the role of the perturbation. We inject multiple currents and measure a single voltage in order to directly obtain the value of the resistance. The relative accuracy of the device increases exponentially with the number of terminals and for large resistances outperforms a standard measurement by over an order of magnitude. Our work hopefully paves the way toward leveraging non-Hermitian conductance matrices in high-precision sensing.
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来源期刊
Physical Review Applied
Physical Review Applied PHYSICS, APPLIED-
CiteScore
7.80
自引率
8.70%
发文量
760
审稿时长
2.5 months
期刊介绍: Physical Review Applied (PRApplied) publishes high-quality papers that bridge the gap between engineering and physics, and between current and future technologies. PRApplied welcomes papers from both the engineering and physics communities, in academia and industry. PRApplied focuses on topics including: Biophysics, bioelectronics, and biomedical engineering, Device physics, Electronics, Technology to harvest, store, and transmit energy, focusing on renewable energy technologies, Geophysics and space science, Industrial physics, Magnetism and spintronics, Metamaterials, Microfluidics, Nonlinear dynamics and pattern formation in natural or manufactured systems, Nanoscience and nanotechnology, Optics, optoelectronics, photonics, and photonic devices, Quantum information processing, both algorithms and hardware, Soft matter physics, including granular and complex fluids and active matter.
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