Autonomous Initialization and Calibration of Multi-Qubit Quantum-Dot Devices
Oral-In-person
Abstract
Autonomous control and calibration of semiconductor quantum-dot (QD) arrays are essential for scalable operation of spin-based quantum processors. The recently developed bootstrapping, autonomous testing, and initialization system (BATIS) demonstrated a physics-guided, platform-agnostic approach to device initialization and channel formation in undoped Si/SiGe QD devices at 1.3 K [1]. Building on this foundation, we present an extended implementation of BATIS applied to a multi-qubit QD device in planar germanium. This extension addresses the exponentially increasing complexity of gate-voltage space in large-array systems while maintaining robust performance in the presence of trapped charge and high-temperature noise environments.
Our results demonstrate that the flexible and scalable design of BATIS enables reliable autonomous initialization of multi-qubit QD arrays, supporting the development of automated multi-qubit full calibration systems.
Our results demonstrate that the flexible and scalable design of BATIS enables reliable autonomous initialization of multi-qubit QD arrays, supporting the development of automated multi-qubit full calibration systems.
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Publication: [1] T. J. Kovach, D. Schug, M. A. Wolfe, E. R. MacQuarrie, P. J. Walsh, O. M. Eskandari, J. Benson, M. Friesen, M. A. Eriksson, and J. P. Zwolak, "Bootstrapping and autonomous tuning system for Si/SiGe multi-quantum dot devices," (2025). https://arxiv.org/abs/2412.07676
Presenters
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Zach Merino
- University of Maryland College Park