Helium-Efficient Cryogenic Microwave Impedance Microscopy for Research on Topological Quantum States

Abstract

The objective of this DURIP award is to implement a helium-efficient cryogenic microwave impedance microscope (MIM) based on a dilution refrigerator platform, which will substantially advance our knowledge on topological phases such as quantum spin Hall state, quantum anomalous Hall state, and Axion insulator state. The MIM is capable of achieving a spatial resolution of 10 ~ 100 nm, which is below one millionth of the free-space wavelength at 1 GHz. The base temperature below 100 mK in the dilution refrigerator is crucial for us to study the spatial distribution of local conductance in these systems. The reliquefier will ensure the efficient usage of helium, a precious natural resource undergoing global supply shortage in the present time. Moreover, with the recondensation of helium, the system will be continuously running without being interrupted by helium transfer, which is desirable for careful studies on topological states at cryogenic temperatures.

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Document Details

Document Type
Technical Report
Publication Date
Aug 02, 2022
Accession Number
AD1190342

Entities

People

  • Keji Lai

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Compressors
  • Covid-19
  • Dielectrics
  • Dilution
  • Electrical Properties
  • Electronic Equipment
  • Electronics
  • Impedance
  • Low Temperature
  • Materials
  • Microscopes
  • Microwaves
  • Military Research
  • Natural Resources
  • Power Electronics
  • Quantum Properties
  • Quantum States
  • Shortages (Logistics)
  • Spatial Distribution
  • Students
  • Technology Transfer
  • Universities

Fields of Study

  • Physics

Readers

  • Economics
  • Research Science/Academic Research
  • Superconducting Magnet Technology

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing
  • Space