Optimization of quantized charge pumping using full counting statistics
Elina Potanina, Kay Brandner, and Christian Flindt

TL;DR
This paper uses full counting statistics and Floquet theory to optimize single-electron charge pumps, enhancing their performance and frequency range for quantized current production.
Contribution
It introduces a theoretical framework combining Floquet theory and Berry curvature analysis to optimize charge pump operation at high frequencies.
Findings
Significant increase in quantized current frequencies predicted.
Optimization of driving parameters enhances device performance.
Framework applicable to real-world charge pumping technology.
Abstract
We optimize the operation of single-electron charge pumps using full counting statistics techniques. To this end, we evaluate the statistics of pumped charge on a wide range of driving frequencies using Floquet theory, focusing here on the current and the noise. For charge pumps controlled by one or two gate voltages, we demonstrate that our theoretical framework may lead to enhanced device performance. Specifically, by optimizing the driving parameters, we predict a significant increase in the frequencies for which a quantized current can be produced. For adiabatic two-parameter pumps, we exploit that the pumped charge and the noise can be expressed as surface integrals over Berry curvatures in parameter space. Our findings are important for the efforts to realize high-frequency charge pumping, and our predictions may be verified using current technology.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
