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Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
Published on: April 4, 2017
8.5K
4.2 K sensitivity-tunable radio frequency reflectometry of a physically defined p-channel silicon quantum dot
Sinan Bugu1, Shimpei Nishiyama2, Kimihiko Kato3
1Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552, Japan. sinanbugu@gmail.com.
Scientific Reports
|October 9, 2021
Summary
We measured p-channel silicon-on-insulator quantum dots using radio frequency reflectometry at 4.2 K. This method achieves optimal signal-to-noise for sensitive readout in quantum computing architectures.
Area of Science:
- Quantum Computing
- Solid-State Physics
- Nanotechnology
Background:
- Quantum dots are essential for quantum computing.
- Accurate measurement of quantum dots is crucial for device development.
- Radio frequency reflectometry offers a potential method for quantum dot characterization.
Purpose of the Study:
- To demonstrate the measurement of p-channel silicon-on-insulator quantum dots.
- To optimize radio frequency reflectometry for quantum dot characterization at liquid helium temperatures.
- To investigate the impact of gate design on reflectometry efficiency.
Main Methods:
- Utilized a radio frequency (rf) reflectometry circuit with two tunable GaAs varactors.
- Performed measurements on p-channel silicon-on-insulator quantum dots at liquid helium temperatures (4.2 K).
- Analyzed Coulomb diamond observations and discussed rf leakage from top gates in MOS nanostructures.
Main Results:
- Successfully observed Coulomb diamonds at 4.2 K under optimal matching and high signal-to-noise conditions.
- Demonstrated the effectiveness of the rf reflectometry setup for characterizing quantum dots.
- Identified rf leakage from large top gates as a factor affecting reflectometry efficiency.
Conclusions:
- The developed rf reflectometry technique enables sensitive and fast readout of quantum dots.
- This method is suitable for multi-gate architectures and multi-qubit platforms.
- The findings contribute to advancing the development of scalable quantum computing hardware.

