An automated measurement sequence for the calibration of quantum dot arrays

Sequencing automated measurement routines in a way that is both efficient and optimal remains a notable challenge in the tune-up of real-world quantum dot devices that are subject to disorder. Here we describe a generally-applicable process for tuning both the charge occupancy and inter-dot coupling of an array of quantum dots, compensating for disorder and building towards coherent operation. We demonstrate the process on an array of 6 Si/SiGe quantum dots in the SLEDGE architecture [1]. We’ll show that using neural-network based analysis tools, physically-motivated voltage reconfigurations can be implemented to strategically traverse standard characterization techniques, with the explicit goal of conditioning a device’s physical state for qubit initialization, measurement, and control.

[1] Ha et al., Nano Lett. 22, 3, 1443 (2021).