Full Configuration Interaction Quantum Monte Carlo Efficiency Data

Data and scripts accompany the research paper 'Understanding and Improving the Efficiency of Full Configuration Interaction Quantum Monte Carlo'. The dataset likely contains results from quantum Monte Carlo simulations, including measures of statistical inefficiency and sampling performance. It is intended for reanalysis to reproduce figures from the associated arXiv publication.

Use Cases

• Reproducing computational physics figures based on simulation output data.
• Benchmarking the efficiency of quantum Monte Carlo algorithms using provided inefficiency metrics.
• Analyzing the impact of importance sampling on sign problems in Hilbert space.
• Studying statistical properties of FCIQMC simulations across different basis sets.

Strengths

• Data is directly linked to a peer-reviewed arXiv paper (1601.00865), providing academic context.
• Includes Python scripts for full reproducibility of the published figures.
• License is explicitly stated as Open Access (green), facilitating reuse.

Limitations

• Key metadata such as row count, file size, and specific column names are unknown across all sources.
• The dataset's structure and specific data points are not described, requiring reliance on external scripts for interpretation.
• No last updated timestamp is provided, limiting assessment of freshness.

Provenance

Source

W. A. Vigor, Imperial College London

Collection Method

Generated from Full Configuration Interaction Quantum Monte Carlo simulations, as described in the associated paper.