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This paper introduces an automated tracking framework for Qiskit compilers, enabling detailed observability of the transpilation process without manual instrumentation. By capturing pass-level execution data and backend characteristics in a structured format, it facilitates reproducible evaluation and deeper analysis of quantum compilation workflows. This advancement directly addresses the need for visibility into compiler internals to optimize performance and verify algorithmic effectiveness on real hardware.
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Observing the Quantum Compiler through Automatic Experiment Tracking for Qiskit

arXiv1 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2608.05041v1 Announce Type: new Abstract: Understanding the effectiveness of quantum compilation techniques requires visibility into the entire transpilation process, not just the final circuit metrics. This demonstration presents an MLflow-inspired autologging framework for Qiskit that automatically captures compiler provenance, including transpilation stages, pass-level execution data, backend characteristics, compiler configuration, and execution results. The framework extends the QProv provenance model with compiler-specific information and stores the collected data in an MLflow Tracking Server for analysis and visualization. By eliminating manual instrumentation, the proposed approach improves compiler observability and supports reproducible evaluation of quantum compilation workflows.

Abstract:Understanding the effectiveness of quantum compilation techniques requires visibility into the entire transpilation process, not just the final circuit metrics. This demonstration presents an MLflow-inspired autologging framework for Qiskit that automatically captures compiler provenance, including transpilation stages, pass-level execution data, backend characteristics, compiler configuration, and execution results. The framework extends the QProv provenance model with compiler-specific information and stores the collected data in an MLflow Tracking Server for analysis and visualization. By eliminating manual instrumentation, the proposed approach improves compiler observability and supports reproducible evaluation of quantum compilation workflows.

Quantum Physics (quant-ph); Software Engineering (cs.SE)

arXiv:2608.05041 [quant-ph]

(or arXiv:2608.05041v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.05041 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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