What question did this study set out to answer?

The research aims to develop a data-driven model that accurately characterizes open quantum systems using thermodynamic principles.

July 4, 2026QuantumOpen Access

Learning thermodynamic master equations for open quantum systems

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Randomized trial explores thermodynamic principles in learning models for open quantum systems, suggesting advancements in quantum computing.

The research aims to develop a data-driven model that accurately characterizes open quantum systems using thermodynamic principles.
Developed a thermodynamically consistent model incorporating learnable terms for characterizing quantum systems.
Validated the model on synthetic two and three-level datasets and experimental two-level data from a quantum device.
Employed scientific machine learning techniques including deep neural networks.
The model successfully estimates the Hamiltonian of the system and coupling components to the environment.
Demonstrated interpretability in the results, essential for practical applications in quantum computing.

Sentz et al. (2026) studied this question.

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Randomized trial explores thermodynamic principles in learning models for open quantum systems, suggesting advancements in quantum computing.