Dataset for: Estimating heating times in periodically driven quantum many-body systems via

Artem Rakcheev from Universität Innsbruck provides data and Python scripts for all figures in the corresponding research article. The dataset is organized into self-contained folders for each figure and is intended for use with standard scientific Python libraries. The included scripts guide data access and plotting.

Use Cases

• Reproducing research figures based on the provided data and scripts.
• Analyzing heating times in quantum many-body systems based on the described spectroscopy method.
• Benchmarking numerical simulation results against the published data.
• Studying the relationship between avoided crossings and heating dynamics as suggested by the title.

Strengths

• Data is directly linked to a specific research article, providing clear context.
• Includes Python scripts for accessing and plotting the data, facilitating reproducibility.
• Data is organized into self-contained folders per figure, suggesting clear structure.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Artem Rakcheev, Universität Innsbruck, via paperswithcode.

Collection Method

Likely generated via numerical simulations for the corresponding research article.