Conditional counting statistics of electrons tunneling through quantum dot systems measured by a quantum point contact
Yen-Jui Chang, Tsung-Kang Yeh, Chao-Hung Wan, D. Wahyu Utami, Gerard, J. Milburn, and Hsi-Sheng Goan

TL;DR
This paper develops a new, efficient method for calculating the conditional counting statistics of electron transport in quantum dot systems monitored by a quantum point contact, revealing detailed insights into transport properties and shot noise effects.
Contribution
The authors introduce a novel, numerically stable method for conditional counting statistics applicable to complex quantum dot systems, surpassing existing techniques in stability and parameter range.
Findings
Conditional current cumulants differ significantly from unconditional ones.
QPC shot noise influences the conditional counting statistics.
Discrepancies observed between sequential and coherent tunneling models.
Abstract
We theoretically study the conditional counting statistics of electron transport through a system consisting of a single quantum dot (SQD) or coherently coupled double quantum dots (DQD's) monitored by a nearby quantum point contact (QPC) using the generating functional approach with the maximum eigenvalue of the evolution equation matrix method, the quantum trajectory theory method (Monte Carlo method), and an efficient method we develop. The conditional current cumulants that are significantly different from their unconditional counterparts can provide additional information and insight into the electron transport properties of mesoscopic nanostructure systems. The efficient method we develop for calculating the conditional counting statistics is numerically stable, and is capable of calculating the conditional counting statistics for a more complex system than the maximum eigenvalue…
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.
