Theodore McKeever published simulated data for the total dissipated work of a qubit on figshare in 2026. The 67.1 KB dataset contains results from numerically averaging over noisy trajectories, parameterized by inverse temperature, coupling strength, and number of time steps. It was generated for use in a publication on optimizing dissipation in stochastically controlled quantum systems.
Use Cases
- Analyzing the relationship between dissipated work and inverse temperature (Beta) for a qubit.
- Studying the effect of coupling strength (Alpha) on work dissipation in controlled quantum systems.
- Investigating how the number of time steps (N) influences optimal dissipation as described in the related publication.
- Validating theoretical models of finite-step control protocols using the provided Pareto parameter (Kappa) values.
Strengths
- Data dimensions are explicitly defined, covering 1 noise variance, 3 Alpha values, 12 Beta values, 5 Kappa values, and 17 N values.
- Dataset is licensed under CC0-1.0, allowing for unrestricted use.
- Data is provided in a structured JSON format, facilitating programmatic access.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is small (67.1 KB), indicating limited scope or a highly specific simulation result.
Provenance
- Source
- Theodore McKeever via figshare
- Collection Method
- Numerically generated via averaging over noisy trajectories for a publication.
- Freshness
- Last updated 2026-04-28 08:25:31; freshness should be verified.