Autonomous Tuning and Charge-State Detection of Gate-Defined Quantum Dots
Jana Darulová, Sebastian Pauka, Nathan Wiebe, K. W. Chan, G.C Gardener, Michael J. Manfra, Maja C. Cassidy, Matthias Troyer
Abstract
Automated tuning of gate-defined quantum dots is an essential step toward scaling up quantum computing with semiconductor qubits. The authors demonstrate an algorithm that can tune several devices without prior knowledge of their details. The approach taken here shows that simple machine-learning classifiers trained on experimental data and well-established tuning sequences are sufficient to remove human interaction, paving the way for autonomous initialization of semiconductor qubits.
Topics & Concepts
Quantum dotCharge (physics)State (computer science)PhysicsQuantum mechanicsOptoelectronicsComputer scienceAlgorithmAdvancements in Semiconductor Devices and Circuit DesignQuantum Computing Algorithms and ArchitectureQuantum and electron transport phenomena