Bayesian optimization for robust state preparation in quantum many-body systems

Blatz T, Kwan J, Leonard J, Bohrdt A. 2024. Bayesian optimization for robust state preparation in quantum many-body systems. Quantum. 8, 1388.

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Journal Article | Published | English

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Author
Blatz, Tizian; Kwan, Joyce; Léonard, JulianISTA; Bohrdt, Annabelle
Abstract
New generations of ultracold-atom experiments are continually raising the demand for efficient solutions to optimal control problems. Here, we apply Bayesian optimization to improve a state-preparation protocol recently implemented in an ultracold-atom system to realize a two-particle fractional quantum Hall state. Compared to manual ramp design, we demonstrate the superior performance of our optimization approach in a numerical simulation – resulting in a protocol that is 10x faster at the same fidelity, even when taking into account experimentally realistic levels of disorder in the system. We extensively analyze and discuss questions of robustness and the relationship between numerical simulation and experimental realization, and how to make the best use of the surrogate model trained during optimization. We find that numerical simulation can be expected to substantially reduce the number of experiments that need to be performed with even the most basic transfer learning techniques. The proposed protocol and workflow will pave the way toward the realization of more complex many-body quantum states in experiments.
Publishing Year
Date Published
2024-06-27
Journal Title
Quantum
Publisher
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
Volume
8
Article Number
1388
ISSN
IST-REx-ID

Cite this

Blatz T, Kwan J, Leonard J, Bohrdt A. Bayesian optimization for robust state preparation in quantum many-body systems. Quantum. 2024;8. doi:10.22331/q-2024-06-27-1388
Blatz, T., Kwan, J., Leonard, J., & Bohrdt, A. (2024). Bayesian optimization for robust state preparation in quantum many-body systems. Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften. https://doi.org/10.22331/q-2024-06-27-1388
Blatz, Tizian, Joyce Kwan, Julian Leonard, and Annabelle Bohrdt. “Bayesian Optimization for Robust State Preparation in Quantum Many-Body Systems.” Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2024. https://doi.org/10.22331/q-2024-06-27-1388.
T. Blatz, J. Kwan, J. Leonard, and A. Bohrdt, “Bayesian optimization for robust state preparation in quantum many-body systems,” Quantum, vol. 8. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2024.
Blatz T, Kwan J, Leonard J, Bohrdt A. 2024. Bayesian optimization for robust state preparation in quantum many-body systems. Quantum. 8, 1388.
Blatz, Tizian, et al. “Bayesian Optimization for Robust State Preparation in Quantum Many-Body Systems.” Quantum, vol. 8, 1388, Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2024, doi:10.22331/q-2024-06-27-1388.
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