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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| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881700519408304128 |
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| author | Juan Francisco Agreda Vega Evergisto Sare Lara L. Montoya |
| author_browse | Evergisto Sare Lara Juan Francisco Agreda Vega L. Montoya |
| author_facet | Juan Francisco Agreda Vega Evergisto Sare Lara L. Montoya |
| author_sort | Juan Francisco Agreda Vega |
| collection | Producción científica |
| description | 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. |
| format | Dataset |
| id | openalex:W7208742453 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7208742453Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionalsJuan Francisco Agreda VegaEvergisto Sare LaraL. Montoyaquantum state representationmultivariate dependencestatistical inferencecross-covariancestatistical independencequantum informationStatistical Mechanics and EntropyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and ArchitectureThis 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.Datasethttps://doi.org/10.5281/zenodo.22306826W7208742453enZenodo (CERN European Organization for Nuclear Research)2026-09-04 |
| spellingShingle | quantum state representation multivariate dependence statistical inference cross-covariance statistical independence quantum information Statistical Mechanics and Entropy Quantum Mechanics and Applications Quantum Computing Algorithms and Architecture Juan Francisco Agreda Vega Evergisto Sare Lara L. Montoya Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title | Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title_full | Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title_fullStr | Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title_full_unstemmed | Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title_short | Reproducibility package for quantum-state representations of multivariate dependence: Statistical inference through Bures geometry and entropic functionals |
| title_sort | reproducibility package for quantum state representations of multivariate dependence statistical inference through bures geometry and entropic functionals |
| topic | quantum state representation multivariate dependence statistical inference cross-covariance statistical independence quantum information Statistical Mechanics and Entropy Quantum Mechanics and Applications Quantum Computing Algorithms and Architecture |
| topic_facet | quantum state representation multivariate dependence statistical inference cross-covariance statistical independence quantum information Statistical Mechanics and Entropy Quantum Mechanics and Applications Quantum Computing Algorithms and Architecture |
| url | https://doi.org/10.5281/zenodo.22306826 |
| work_keys_str_mv | AT juanfranciscoagredavega reproducibilitypackageforquantumstaterepresentationsofmultivariatedependencestatisticalinferencethroughburesgeometryandentropicfunctionals AT evergistosarelara reproducibilitypackageforquantumstaterepresentationsofmultivariatedependencestatisticalinferencethroughburesgeometryandentropicfunctionals AT lmontoya reproducibilitypackageforquantumstaterepresentationsofmultivariatedependencestatisticalinferencethroughburesgeometryandentropicfunctionals |