2024/12/06 by Jacob Benestad, Torbjørn Rasmussen, Benestad, Jacob +21 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum and electron transport phenomena
paper · doi:10.48550/arxiv.2412.04997
openalex publication_date 2024/12/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03
We investigate automated in situ optimization of the potential landscape in a quantum point contact device, using a 3 × 3 gate array patterned atop the constriction. Optimization is performed using the covariance matrix adaptation evolutionary strategy, for which we introduce a metric for how "step-like" the conductance is as the channel becomes constricted. We first perform the optimization of the gate voltages in a tight-binding simulation and show how such in situ tuning can be used to mitigate a random disorder potential. The optimization is then performed in a physical device in experiment, where we also observe a marked improvement in the quantization of the conductance resulting from the optimization procedure.