Milli-Kelvin Microwave Microscopy of Quantum Anomalous Hall States
ORAL
Abstract
Near-field microwave impedance microscopy (MIM) is a powerful technique that can visualize
sub-surface conductivity distribution with a spatial resolution on the order of 100 nm. In this
work, we report the implementation of a dilution-refrigerator-based MIM with a base
temperature of ~ 100 mK. The vibration noise of our apparatus with tuning-fork feedback control
is as low as 1 nm. Using this setup, we have successfully performed nanoscale imaging of
quantum anomalous Hall (QAH) states in magnetically (Cr and V) doped (Bi,Sb) 2 Te 3 thin films
grown on mica substrates. At high magnetic fields, the conductive chiral edge modes are clearly
observed in the MIM images, consistent with the quantization of Hall conductance in the
transport data. The two topological phase transitions near the coercive fields of Cr and V are also
vividly visualized in the field-dependent results. Our work establishes the experimental platform
for the investigation of nanoscale quantum phenomena under ultralow temperatures.
sub-surface conductivity distribution with a spatial resolution on the order of 100 nm. In this
work, we report the implementation of a dilution-refrigerator-based MIM with a base
temperature of ~ 100 mK. The vibration noise of our apparatus with tuning-fork feedback control
is as low as 1 nm. Using this setup, we have successfully performed nanoscale imaging of
quantum anomalous Hall (QAH) states in magnetically (Cr and V) doped (Bi,Sb) 2 Te 3 thin films
grown on mica substrates. At high magnetic fields, the conductive chiral edge modes are clearly
observed in the MIM images, consistent with the quantization of Hall conductance in the
transport data. The two topological phase transitions near the coercive fields of Cr and V are also
vividly visualized in the field-dependent results. Our work establishes the experimental platform
for the investigation of nanoscale quantum phenomena under ultralow temperatures.
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Presenters
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Zhanzhi Jiang
University of Texas at Austin
Authors
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Zhanzhi Jiang
University of Texas at Austin
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Su Kong Chong
University of California, Los Angeles
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Peng Zhang
University of California, Los Angeles
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Kang-Lung Wang
University of California, Los Angeles
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Keji Lai
University of Texas at Austin