Chin. Phys. Lett.  2020, Vol. 37 Issue (8): 080702    DOI: 10.1088/0256-307X/37/8/080702
Characterization of Scanning SQUID Probes Based on 3D Nano-Bridge Junctions in Magnetic Field
Yin-Ping Pan1,2, Yue Wang1,3, Ruo-Ting Yang1,3, Yan Tang1, Xiao-Yu Liu1, Hua Jin1, Lin-Xian Ma1, Yi-Shi Lin2, Zhen Wang1,3, Jie Ren1,3*, Yi-Hua Wang2,4*, and Lei Chen1,3*
1Center for Excellence in Superconducting Electronics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
2Department of Physics and State Key Laboratory of Surface Physics, Fudan University, Shanghai 200438, China
3University of Chinese Academy of Sciences, Beijing 100049, China
4Shanghai Research Center for Quantum Sciences, Shanghai 201315, China
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Yin-Ping Pan, Yue Wang, Ruo-Ting Yang et al  2020 Chin. Phys. Lett. 37 080702
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Abstract We develop superconducting quantum interference device (SQUID) probes based on 3D nano-bridge junctions for the scanning SQUID microscopy. The use of these nano-bridge junctions enables imaging in the presence of a high magnetic field. Conventionally, a superconducting ground layer has been employed for better magnetic shielding. In our study, we prepare a number of scanning SQUID probes with and without a ground layer to evaluate their performance in external magnetic fields. The devices show the improved magnetic modulation up to 1.4 T. It is found that the ground layer reduces the inductance, and increases the modulation depth and symmetricity of the gradiometer design in the absence of the field. However, the layer is not compatible with the use of the scanning SQUID probe in the field because it decreases its working field range. Moreover, by adding the layer, the mutual inductance between the feedback coil and the SQUID also decreases linearly as a function of the field.
Received: 20 March 2020      Published: 28 July 2020
PACS:  07.79.-v (Scanning probe microscopes and components)  
  85.25.-j (Superconducting devices)  
Fund: Supported by the National Key R&D Program of China (Grant Nos. 2017YFF0206105, 2016YFA0301002 and 2017YFA0303000), the Young Investigator Program of CAS (Grant No. 2016217), the Frontier Science Key Programs of the CAS (Grant No. QYZDY-SSW-JSC033), and the Strategic Priority Research Program of CAS (Grant No. XDA18000000), the Shanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX01), and the National Natural Science Foundation of China (Grant No. 11827805).
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Articles by authors
Yin-Ping Pan
Yue Wang
Ruo-Ting Yang
Yan Tang
Xiao-Yu Liu
Hua Jin
Lin-Xian Ma
Yi-Shi Lin
Zhen Wang
Jie Ren
Yi-Hua Wang
and Lei Chen
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