QC-MM: A Metadata and Schema Model for Traceable Quantum-Circuit Experiments
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.isFulltext | SI | |
| cic.isPeerReviewed | SI | |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
| cic.parentType | Artículo | |
| cic.version | Publicada | |
| dc.date.accessioned | 2026-06-25T14:08:17Z | |
| dc.date.available | 2026-06-25T14:08:17Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/12712 | |
| dc.title | QC-MM: A Metadata and Schema Model for Traceable Quantum-Circuit Experiments | en |
| dc.type | Artículo | |
| dcterms.abstract | Context: Modern quantum-computing experimentation generates heterogeneous, contextdependent execution data whose scientific value depends on preserving calibration state, compilation decisions, and run outcomes in a traceable and repository-ready form. In the NISQ era, probabilistic outputs, time-varying hardware conditions, and opaque transpilation pipelines create a data-management problem that directly affects reproducibility, traceability, and long-term reuse of experimental records. Goal: This paper aims to address this gap by proposing a specialized metadata and schema model for managing quantum-circuit execution data as governed, machine-interpretable, and evolvable repository artifacts. Proposal: We propose QC-MM, a platform-agnostic metadata model for capturing, validating, and relating contextual evidence of quantum-circuit experiments. The model integrates time-indexed calibration binding, transpilation traceability, lightweight provenance links, validation rules, and controlled schema evolution through a JSON Schema specification. Results: The evaluation follows a multi-scenario protocol and shows that QC-MM captures dynamic calibration context in IBM Quantum Cloud, remains interoperable through a local SpinQ NMR device, and makes transpilation effects traceable through structured records. It also supports repeated-run statistical reporting and links compilation decisions to execution outcomes, including circuit-depth reductions and changes in an estimated fidelity proxy under different optimization settings. Conclusions: QC-MM provides a specialized data-modeling and schema-governance foundation for traceable quantum-experiment repositories. Beyond improving reproducibility-oriented reporting, the proposal contributes to metadata validation, controlled schema evolution, and repository-oriented management of contextual experimental data | en |
| dcterms.creator.author | Huenchuleo, Nawel | |
| dcterms.creator.author | Sepúlveda, Samuel | |
| dcterms.creator.author | Fernández, Alejandro | |
| dcterms.identifier.other | DOI: 10.3390/app16136346 | |
| dcterms.identifier.other | ISSN: 2076-3417 | |
| dcterms.identifier.url | https://doi.org/10.3390/app16136346 | |
| dcterms.isPartOf.issue | vol. 16, no. 13 | |
| dcterms.isPartOf.series | Applied Sciences | |
| dcterms.issued | 2026 | |
| dcterms.language | Inglés | |
| dcterms.license | Attribution 4.0 International (BY 4.0) | |
| dcterms.subject | metadata schema evolution | en |
| dcterms.subject | data modeling | en |
| dcterms.subject | traceability | en |
| dcterms.subject | provenance | en |
| dcterms.subject | quantum circuit execution | en |
| dcterms.subject | quantum experiment repositories | en |
| dcterms.subject | JSON schema | en |
| dcterms.subject | QC-MM | en |
| dcterms.subject.materia | Ciencias de la Computación e Información |
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