Ising Chain Dissipated Work Contributions for Varying Temperature and Length

Theodore McKeever published plotted data for figure 3 of the paper 'Finite steps optimise dissipation in stochastically controlled quantum systems' on 2026-04-28. It contains two JSON files providing deterministic and stochastic contributions to the total dissipated work cost for an Ising chain. The data covers 11 inverse temperature (Beta) values and chain lengths (L) from 2 to 180.

Use Cases

• Validate the theoretical expression for dissipated work in stochastically controlled quantum systems based on the provided scaling formula.
• Analyze the dependence of deterministic and stochastic work contributions on inverse temperature (Beta) for different chain lengths.
• Reproduce Figure 3 from the associated publication using the provided data points.
• Study the scaling behavior of dissipation with system size (chain length L) in a quantum Ising model.

Strengths

• Data is explicitly linked to a specific published figure (Figure 3), ensuring clear context.
• Covers 11 distinct inverse temperature (Beta) values, providing a range for analysis.
• Chain length (L) parameter varies from 2 to 180, allowing study of system size effects.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred from the paper.
• The dataset is very small at 1.2 KB, indicating limited scope.

Provenance

Source

figshare, author Theodore McKeever.

Collection Method

Likely generated from numerical simulations or calculations for the associated publication.

Freshness

Last updated 2026-04-28 08:26:05; freshness should be verified.