Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals
This record contains the reproducibility package for the study “Quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals.” The package includes a documented Google Colab notebook, Python source code, 72,000 primary and 2,000 seco...
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| Autores principales: | , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | inglés |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| Sumario: | This record contains the reproducibility package for the study “Quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals.” The package includes a documented Google Colab notebook, Python source code, 72,000 primary and 2,000 secondary Monte Carlo replication records from the completed FULL experiment, five study tables, and three figures in PDF, EPS and PNG formats. Numerical diagnostics, software versions and SHA-256 checksums are also provided. All data are simulated using a fixed base seed of 20260904 and deterministic pseudo-random streams. Computations use classical numerical methods, without quantum hardware. The statistical target is zero cross-covariance between random vectors, which is distinct from general statistical independence. The notebook loads and validates the saved results by default and includes an optional complete rerun. Individual simulated samples can be reconstructed using the documented data-generation procedures and seed streams. The journal manuscript is not included in this record. |
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