Multimodule microwave assembly for fast readout and charge-noise characterization of silicon quantum dots
Year: 2024
Type: article
Abstract: Fast measurements of quantum devices is useful in areas such as quantum sensing, quantum computing, and nanodevice quality analysis. Here, we develop a superconductor-semiconductor multimodule microwave assembly to demonstrate charge-state readout at the state of the art. The assembly consist of a superconducting readout resonator interfaced to a silicon-on-insulator (SOI) chiplet containing quantum dots (QDs) in a high- κ nanowire transistor. The superconducting chiplet contains resonant and coupling elements as well as L C filters that, when interfaced with the silicon chip, result in a resonant frequency f = 2.12 GHz, a loaded quality factor Q = 850 , and a resonator impedance Z = 470 Ω . Combined with the large gate lever arms of SOI technology, we achieve a minimum integration time for single and double QD transitions of 2.77 and 13.5 ns, respectively. We utilize the assembly to measure charge noise over 9 decades of frequency up to 500 kHz and find a 1 / f dependence across the whole frequency spectrum as well as a charge-noise level of 4 μ eV / Hz at 1 Hz. The modular microwave circuitry presented here can be directly utilized in conjunction with other quantum devices to improve the readout performance as well as enable large bandwidth noise spectroscopy, all without the complexity of superconductor-semiconductor monolithic fabrication. Published by the American Physical Society 2024
Source: Physical Review Applied
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Awards: G2264885075, International network to explore novel superconductivity at advanced oxide superconductor/magnet interfaces and in nanodevices, G434337789, G5549969633, G5656002269, EPSRC Centre for Doctoral Training in Ultra Precision, G6770599008, EPSRC Centre for Doctoral Training in Sustainable and Functional Nano, Quantum Large Scale Integretion in Silicon
OpenAlex ID: W4367190617
