Metalearning characteristics and dynamics of quantum systems

Schorling L, Vaidhyanathan P, Schuff J, Carballido MJ, Zumbühl D, Milburn G, Marquardt F, Foerster J, Osborne M, Ares N (2026)

Publication Type: Journal article

Publication year: 2026

Journal

Physical Review Research American Physical Society

Book Volume: 8

Article Number: 033248

Journal Issue: 3

DOI: 10.1103/6m8t-r5qk

Abstract

While machine learning holds great promise for quantum technologies, most current methods focus on predicting or controlling a specific quantum system. Metalearning approaches, however, can adapt to new systems for which little data are available, by leveraging knowledge obtained from previous data associated with similar systems. In this paper, we metalearn dynamics and characteristics of closed and open two-level systems, as well as the Heisenberg model. Based on experimental data of a Loss-DiVincenzo spin qubit hosted in a Ge/Si core/shell nanowire for different gate voltage configurations, we predict qubit characteristics, i.e., g factor and Rabi frequency using metalearning. The algorithm we introduce improves upon previous state-of-the-art metalearning methods for physics-based systems by introducing techniques such as adaptive learning rates and a global optimizer for improved robustness and increased computational efficiency. We benchmark our method against other metalearning methods, a vanilla transformer, and a multilayer perceptron, and demonstrate improved performance.

Authors with CRIS profile

Florian Marquardt Lehrstuhl für Theoretische Physik

Involved external institutions

University of Oxford GB United Kingdom (GB) Universität Basel CH Switzerland (CH) University of Queensland AU Australia (AU)

How to cite

APA:

Schorling, L., Vaidhyanathan, P., Schuff, J., Carballido, M.J., Zumbühl, D., Milburn, G.,... Ares, N. (2026). Metalearning characteristics and dynamics of quantum systems. Physical Review Research, 8(3). https://doi.org/10.1103/6m8t-r5qk

MLA:

Schorling, Lucas, et al. "Metalearning characteristics and dynamics of quantum systems." Physical Review Research 8.3 (2026).

BibTeX: Download